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c6f5f3941b86fc9197ffda49361b9e893dd4af5d | d87483a2c0b50ed97c1515d49d62c6e9feaddbe0 | /.history/get_positions_20210205015710.py | 71c1dcc17b16ec8ec382841ca4d884e1bb8d3c0f | [
"MIT"
] | permissive | HopperKremer/hoptrader | 0d36b6e33922414003cf689fb81f924da076a54b | 406793c10bc888648290fd15c7c2af62cf8c6c67 | refs/heads/main | 2023-06-12T15:51:00.910310 | 2021-07-06T16:15:41 | 2021-07-06T16:15:41 | 334,754,936 | 0 | 2 | null | null | null | null | UTF-8 | Python | false | false | 1,169 | py | # Buy top tickers from Financhill
import requests
from tda import auth, client
from tda.orders.equities import equity_buy_market, equity_buy_limit
from tda.orders.common import Duration, Session
import os, sys
import time
from selenium import webdriver
import json
currentdir = os.path.dirname(os.path.realpath(__file__))
parentdir = os.path.dirname(currentdir)
sys.path.append(parentdir)
import config # stored in parent directory for security
token_path = "token"
c = auth.client_from_token_file(token_path, config.api_key)
# positions = c.get_account(config.tda_acct_num, c.Account.Fields.POSITIONS)
# account_info = c.get_account(config.tda_acct_num, fields=[c.Account.Fields.POSITIONS]).json()
# print(account_info)
# positions = c.Account.Fields.POSITIONS
# r = c.get_account(config.tda_acct_num, fields=positions)
# stocks = r.json()['securitiesAccount']['positions']
# # stocks = json.dumps(r.json(), indent=4)
# for stock in stocks:
# print('--------------------------------')
# print(stock['instrument']['symbol'])
orders = c.Order.Status.QUEUED
res = c.get_orders_by_path(config.tda_acct_num, status != orders)
data = res.json()
print(data) | [
"[email protected]"
] | |
ad9989eac00b34fb5d4c74cacffaf49e07c379a3 | 042bd40e554ac7fcd618c334ae98b4f43248a250 | /examples/python/gpu/tensors/ocean_cast_01.py | ce97706ce32728f5fa42af5c74d567a917e63ef7 | [
"Apache-2.0"
] | permissive | kant/ocean-tensor-package | 8a62df968335de2057ff095f0910e5ad5fcff8e1 | fb3fcff8bba7f4ef6cd8b8d02f0e1be1258da02d | refs/heads/master | 2020-03-29T04:01:22.064480 | 2018-09-19T19:17:19 | 2018-09-19T19:17:19 | 149,511,923 | 0 | 0 | Apache-2.0 | 2018-09-19T21:03:14 | 2018-09-19T21:03:14 | null | UTF-8 | Python | false | false | 388 | py | import ocean
A = ocean.asTensor([1,2,3])
B = A.storage
C = ocean.int8(10)
print(ocean.gpu[0](A))
print(ocean.ensure(A,ocean.float,ocean.gpu[0]))
ocean.ensure(A,ocean.half,ocean.gpu[0],True)
print(A)
print(ocean.gpu[0](B))
print(ocean.ensure(B,ocean.int8,ocean.gpu[0]))
ocean.ensure(B,ocean.gpu[0],True)
print(B)
print(ocean.gpu[0](C))
print(ocean.ensure(C,ocean.int16,ocean.cpu))
| [
"[email protected]"
] | |
a2b91eceee4b8605757728c8196874fbfb1c1d05 | 71469cb9d9dd41438373be83c1e43b67bca25649 | /tests/test__util.py | 5f8dd6d9d82c8331fe015eef296620530e1e28c4 | [
"MIT"
] | permissive | achillesrasquinha/honcho | 7494042775f205b5c0690676856a49185f4ef5d1 | aab83cb10b1d4832c82a4dd3661a6b6df1e1e021 | refs/heads/master | 2020-03-26T10:00:02.351236 | 2018-08-17T18:37:34 | 2018-08-17T18:37:34 | 144,776,468 | 0 | 0 | MIT | 2018-08-14T22:03:08 | 2018-08-14T22:03:08 | null | UTF-8 | Python | false | false | 397 | py | from honcho._util import (
_get_if_empty,
_listify
)
def test__get_if_empty():
assert _get_if_empty("foo", "bar") == "foo"
assert _get_if_empty(None, "bar") == "bar"
def test__listify():
assert _listify("foo") == ["foo"]
assert _listify(12345) == [12345]
assert _listify(["foo"]) == ["foo"]
assert _listify([[]]) == [[]]
assert _listify([]) == [] | [
"[email protected]"
] | |
ce9cacb177ce5e5ab233a69cca7469454d7a56e2 | 61dcd9b485bc5e6d07c4adf14f138eabaa9a23b5 | /evennumberedexercise/Exercise10_2.py | 484e16240b641b4684b13211c0c81be57f8d9814 | [] | no_license | bong1915016/Introduction-to-Programming-Using-Python | d442d2252d13b731f6cd9c6356032e8b90aba9a1 | f23e19963183aba83d96d9d8a9af5690771b62c2 | refs/heads/master | 2020-09-25T03:09:34.384693 | 2019-11-28T17:33:28 | 2019-11-28T17:33:28 | 225,904,132 | 1 | 0 | null | 2019-12-04T15:56:55 | 2019-12-04T15:56:54 | null | UTF-8 | Python | false | false | 303 | py | def main():
# Read numbers as a string from the console
s = input("Enter numbers separated by spaces from one line: ")
items = s.split() # Extracts items from the string
numbers = [ eval(x) for x in items ] # Convert items to numbers
numbers.reverse()
print(numbers)
main() | [
"[email protected]"
] | |
6f52e25526d91b14a03debb468ee2df71da8d084 | 487ce91881032c1de16e35ed8bc187d6034205f7 | /codes/CodeJamCrawler/16_0_2_neat/16_0_2_Loctet_exo3_2.py | bf23d8a702249cdbeb9c90068dad392df81c129c | [] | no_license | DaHuO/Supergraph | 9cd26d8c5a081803015d93cf5f2674009e92ef7e | c88059dc66297af577ad2b8afa4e0ac0ad622915 | refs/heads/master | 2021-06-14T16:07:52.405091 | 2016-08-21T13:39:13 | 2016-08-21T13:39:13 | 49,829,508 | 2 | 0 | null | 2021-03-19T21:55:46 | 2016-01-17T18:23:00 | Python | UTF-8 | Python | false | false | 943 | py | def flip(s):
s=s[::-1]
final=""
for i in s:
if i=="-":
final+="+"
else:
final+="-"
return final
def lastOccur(s):
l=len(s)
l-=1
while l>=0:
if s[l]=="-":
return l
l-=1
return -1
input = open("B-large.in","r")
output = open("output2.txt","w")
T = input.readline()
T = int(T)
for i in range(T):
s=input.readline()
ind = lastOccur(s)
nb=0
while ind != -1:
nb+=1
st = s[0:(ind+1)]
tmp=""
f=ind
while st[0]!=st[f] and f>0:
tmp+=st[f]
f-=1
if tmp!="":
stk = st[0:f+1]
stF = flip(stk)
s=stF+tmp
ind = lastOccur(s)
else:
stF=flip(st)
ind=lastOccur(stF)
s = stF[0:ind+1]
output.write("Case #{0}: {1}\n".format(i+1,nb)) | [
"[[email protected]]"
] | |
e999a16e6adfdf17446ba8992e64289a3804c4f2 | e23a4f57ce5474d468258e5e63b9e23fb6011188 | /125_algorithms/_examples/_algorithms_challenges/pybites/intermediate/125_get_most_recommended_books/save2_nopass.py | 797bdd2662c2b1d825c4e4a7e7ca198722722ac8 | [] | no_license | syurskyi/Python_Topics | 52851ecce000cb751a3b986408efe32f0b4c0835 | be331826b490b73f0a176e6abed86ef68ff2dd2b | refs/heads/master | 2023-06-08T19:29:16.214395 | 2023-05-29T17:09:11 | 2023-05-29T17:09:11 | 220,583,118 | 3 | 2 | null | 2023-02-16T03:08:10 | 2019-11-09T02:58:47 | Python | UTF-8 | Python | false | false | 1,283 | py | from collections import Counter
from bs4 import BeautifulSoup
import requests
AMAZON = "amazon.com"
# static copy
TIM_BLOG = ('https://bites-data.s3.us-east-2.amazonaws.com/'
'tribe-mentors-books.html')
MIN_COUNT = 3
def load_page():
"""Download the blog html and return its decoded content"""
with requests.Session() as session:
return session.get(TIM_BLOG).content.decode('utf-8')
def get_top_books(content=None):
"""Make a BeautifulSoup object loading in content,
find all links that contain AMAZON, extract the book title
(stripping spacing characters), and count them.
Return a list of (title, count) tuples where
count is at least MIN_COUNT
"""
if content is None:
content = load_page()
soup = BeautifulSoup(content, 'html.parser')
right_table = soup.find('div', {'class': 'entry-content'})
books = [row.text
for row in right_table.select('a[href*=amazon]')]
c = Counter(books)
books_final = []
count = []
for letter in c:
if c[letter] >= MIN_COUNT:
books_final.append(letter.strip())
count.append(c[letter])
return sorted(list(zip(books_final, count)),
key=lambda tup: tup[1], reverse=True) | [
"[email protected]"
] | |
6633aaf841c66798b7f26e53ce98722ba6c11f37 | 086c199b617f304f5edcbb3481a82119b9cec99d | /build/turtlebot3_simulations/turtlebot3_gazebo/catkin_generated/pkg.installspace.context.pc.py | 71b5c21b7cabd6268333c28e49d1b4f0f942a34c | [] | no_license | canveo/catkin_ws | 59634bee66aa9f5ed593acd85e6bd4e2e2eaab01 | 3c931df576529ad7e1e48dc0e69ba131914d18dc | refs/heads/master | 2023-02-28T13:23:43.653964 | 2021-02-03T23:00:45 | 2021-02-03T23:00:45 | 325,388,539 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 479 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "${prefix}/include".split(';') if "${prefix}/include" != "" else []
PROJECT_CATKIN_DEPENDS = "roscpp;std_msgs;sensor_msgs;geometry_msgs;nav_msgs;tf;gazebo_ros".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "turtlebot3_gazebo"
PROJECT_SPACE_DIR = "/home/canveo/catkin_ws/install"
PROJECT_VERSION = "1.3.0"
| [
"[email protected]"
] | |
fafa22e9f1df1fccc783dd15e51ccf5964a48f0e | 406bf29e4cfc59bc2cc6005813e4a63065c642bb | /jhyouk_universal_filter/13_SV/Delly_annotation_scripts/04.find_BP.py | d0fd9fd9b0bc1c2085ea05b43aee84e05620e0cd | [] | no_license | leehs96/Emergency_backup | 630c5efbe17f3175851ee80ef6dde72f5f613fe7 | 9bc30b7a5eda03ac207b16f83d93559a5637ac19 | refs/heads/main | 2023-02-10T11:43:40.172101 | 2021-01-05T06:10:33 | 2021-01-05T06:10:33 | 326,903,545 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,499 | py | #Arg1: delly output # must be sorted. (del 3-5, dup 5-3, inv pos1<pos2, tra chr1<chr2; 1...22,X,Y,MT)
#Arg2: Tumor bam
#Arg3: Normal bam
import sys, pysam
import collections
from scipy.stats import ttest_ind
print('### Find BP')
print(sys.argv[1])
dl_file=open(sys.argv[1]) # delly output
dl_line=dl_file.readline().strip()
tbam_file=pysam.AlignmentFile(sys.argv[2],'rb') # Cancer bam
nbam_file=pysam.AlignmentFile(sys.argv[3],'rb') #Normal bam
out_file=open(sys.argv[1]+'.BPinfo','w')
fors=700; bacs=100 #cut-off check! bacs must be smaller than fors
def make_cigartuple(cigarstring):
cg_num=len(cigarstring)
lt=''
cigar_tuple_list=[]
for n in range(0,cg_num):
try: lt = lt+str(int(cigarstring[n]))
except:
if cigarstring[n]=='M': cigar_tuple_list.append((0,int(lt)))
elif cigarstring[n]=='I': cigar_tuple_list.append((1,int(lt)))
elif cigarstring[n]=='D': cigar_tuple_list.append((2,int(lt)))
elif cigarstring[n]=='N': cigar_tuple_list.append((3,int(lt)))
elif cigarstring[n]=='S': cigar_tuple_list.append((4,int(lt)))
elif cigarstring[n]=='H': cigar_tuple_list.append((5,int(lt)))
elif cigarstring[n]=='P': cigar_tuple_list.append((6,int(lt)))
elif cigarstring[n]=='=': cigar_tuple_list.append((7,int(lt)))
elif cigarstring[n]=='X': cigar_tuple_list.append((8,int(lt)))
elif cigarstring[n]=='B': cigar_tuple_list.append((9,int(lt)))
lt=''
return cigar_tuple_list
def find_M_range(cigar):
m_start=0;m_end=0 # m_start: just before the start, m_end= the exact end
cigar_list=make_cigartuple(cigar)
m_count=0
for (t, n) in cigar_list:
if t == 0:
m_count +=1
if m_count ==1:
for (t,n) in cigar_list:
if t!=0 and t!=1:
m_start+=n
elif t==0:
m_end=m_start+n
break
elif m_count > 1:
find_m=0;m_length=0
for (t,n) in cigar_list:
if find_m==0 and t!=0 and t!=1:
m_start+=n
elif find_m >0 and t!=0 and t!=1:
m_length+=n
elif t==0:
find_m+=1
if find_m < m_count:
m_length+=n
elif find_m == m_count:
m_end=m_start+m_length
break
return([m_start, m_end])
def change_chr_to_int(chr1):
if chr1[0:2]=='GL':
chr_n=25
elif chr1[0:3]=='NC_':
chr_n=26
elif chr1=='hs37d5':
chr_n = 27
elif chr1[0:2]=='JH':
chr_n=28
else:
chr_n=int(((chr1.replace('X','23')).replace('Y','24')).replace('MT','25'))
return(chr_n)
def find_SA_reads(chr1,start1, end1, chr2, target_start2, target_end2, bam_file):
saINFO=[]
reverse_list=['1','3','5','7','9','b','d','f']
start1=max(start1,1)
end1=max(end1,1)
for read in bam_file.fetch(chr1,start1-1,end1):
if read.cigartuples == None or read.is_secondary == True or read.is_supplementary == True or read.is_duplicate == True:
continue
if read.has_tag('SA'):
chr_n=change_chr_to_int(read.reference_name)
cigar_info=read.cigarstring
read_size=read.infer_read_length()
SA_list=str(read.get_tag('SA')).split(';')[:-1]
for SA_indi in SA_list:
info_ori=''
SA_chr=SA_indi.split(',')[0]
SA_chr_n=change_chr_to_int(SA_chr)
SA_pos=int(SA_indi.split(',')[1])
SA_strand=SA_indi.split(',')[2]
SA_cigar=SA_indi.split(',')[3]
SA_MQ=SA_indi.split(',')[4]
if SA_chr==chr2 and int(SA_pos)>=target_start2 and int(SA_pos)<=target_end2: #check
pri_M_range=find_M_range(cigar_info)
SA_M_range=find_M_range(SA_cigar)
pri_len=pri_M_range[1]-pri_M_range[0]
SA_len=SA_M_range[1]-SA_M_range[0]
if (hex(int(read.flag))[-2] in reverse_list and SA_strand=='-') or (hex(int(read.flag))[-2] not in reverse_list and SA_strand=='+'): #same_direction
if pri_M_range[0] <= SA_M_range[0] and pri_M_range[1] >= SA_M_range[1]: continue
elif SA_M_range[0] <= pri_M_range[0] and SA_M_range[1] >= pri_M_range[1]: continue
if pri_M_range[1] > SA_M_range[1]:
MHLEN=SA_M_range[1]-pri_M_range[0]
bp1=read.reference_start+1
bp2=SA_pos+SA_len-1
terminal1="5";terminal2="3"
if read.reference_name!=SA_chr:
rearr="TRA"
if chr_n < SA_chr_n: info_ori='rs'
elif chr_n > SA_chr_n: info_ori='sr'
else:
if bp1<bp2: rearr="DUP"; info_ori='rs'
elif bp1>bp2: rearr="DEL"; info_ori='sr'
elif SA_M_range[1] > pri_M_range[1]:
MHLEN=pri_M_range[1]-SA_M_range[0]
bp1=read.reference_start+pri_len
bp2=SA_pos
terminal1="3"; terminal2="5"
if read.reference_name!=SA_chr:
rearr="TRA"
if chr_n < SA_chr_n: info_ori='rs'
elif chr_n > SA_chr_n: info_ori='sr'
else:
if bp1<bp2: rearr="DEL"; info_ori='rs'
elif bp1>bp2: rearr="DUP"; info_ori='sr'
else:
'blank'
else: # opposite direction
rvs_pri_M_range=[read_size-pri_M_range[1], read_size-pri_M_range[0]]
if rvs_pri_M_range[0] <= SA_M_range[0] and rvs_pri_M_range[1] >= SA_M_range[1]: continue
elif SA_M_range[0] <= rvs_pri_M_range[0] and SA_M_range[1] >= rvs_pri_M_range[1]: continue
if rvs_pri_M_range[1] > SA_M_range[1]:
MHLEN=SA_M_range[1]-rvs_pri_M_range[0]
bp1=read.reference_start+pri_len
bp2=SA_pos+SA_len-1
terminal1="3";terminal2="3"
if read.reference_name!=SA_chr:
rearr="TRA"
if chr_n < SA_chr_n: info_ori='rs'
elif chr_n > SA_chr_n: info_ori='sr'
else:
rearr="INV"
if bp1 < bp2: info_ori='rs'
elif bp1 > bp2: info_ori='sr'
elif SA_M_range[1] > rvs_pri_M_range[1]:
MHLEN=rvs_pri_M_range[1]-SA_M_range[0]
bp1=read.reference_start+1
bp2=SA_pos
terminal1="5";terminal2="5"
if read.reference_name!=SA_chr:
rearr="TRA"
if chr_n < SA_chr_n: info_ori='rs'
elif chr_n > SA_chr_n: info_ori='sr'
else:
rearr="INV"
if bp1 < bp2: info_ori="rs"
elif bp1 > bp2: info_ori="sr"
else:
'blank'
else:
'blank'
if info_ori=='rs':
rs_info=read.reference_name+':'+str(bp1)+'_'+SA_chr+':'+str(bp2)+'_'+str(MHLEN)+'_'+rearr+'_'+terminal1+'to'+terminal2
saINFO.append(rs_info)
elif info_ori=='sr':
sr_info=SA_chr+':'+str(bp2)+'_'+read.reference_name+':'+str(bp1)+'_'+str(MHLEN)+'_'+rearr+'_'+terminal2+'to'+terminal1
saINFO.append(sr_info)
else:
'blank'
return(saINFO)
while dl_line:
if dl_line[0:2]=='##':
out_file.write(dl_line+'\n')
elif dl_line[0:4]=='#CHR':
out_file.write(dl_line+'\ttBPinfo\tnBPinfo\n')
elif dl_line[0]=='#':
out_file.write(dl_line+'\n')
else:
dl_indi=dl_line.split('\t')
chr1=dl_indi[0];pos1=int(dl_indi[1]);chr2=(dl_indi[7].split('CHR2=')[1]).split(';')[0];pos2=int((dl_indi[7].split('END=')[1]).split(';')[0])
ct1=(dl_indi[7].split('CT=')[1]).split(';')[0][0]
ct2=(dl_indi[7].split('CT=')[1]).split(';')[0][-1]
sv_type=dl_indi[2][0:3]
dist=pos2-pos1
if sv_type!='TRA' and dist < 0:
print('Sorting error')
print(dl_line)
sys.exit(1)
if sv_type == 'INV' and ct1=='3' and ct2=='3':
start1=pos1-bacs
end1=pos1+fors
start2=pos2-bacs
end2=pos2+fors
if dist >= bacs and dist < fors:
end1=pos1+dist-bacs
elif dist < bacs:
end1=pos1+dist/2
start2=pos2-dist/2
elif sv_type == 'INV' and ct1 == '5' and ct2=='5':
start1=pos1-fors
end1=pos1+bacs
start2=pos2-fors
end2=pos2+bacs
if dist >= bacs and dist < fors:
start2=pos2-dist+bacs
elif dist < bacs:
end1=pos1+dist/2
start2=pos2-dist/2
elif sv_type == 'DEL':
start1=pos1-bacs
end1=pos1+fors
start2=pos2-fors
end2=pos2+bacs
if dist < fors:
end1=pos1+dist/2
start2=pos2-dist/2
elif sv_type == 'DUP':
start1=pos1-fors
end1=pos1+bacs
start2=pos2-bacs
end2=pos2+fors
if dist < bacs:
end1=pos1+dist/2
start2=pos2-dist/2
elif sv_type == 'INS':
t_info='NA'; n_info='NA'
out_file.write(dl_line+'\t'+t_info+'\t'+n_info+'\n')
dl_line=dl_file.readline().strip()
continue
elif sv_type == 'TRA':
if ct1=='5':
start1=pos1-fors
end1=pos1+bacs
elif ct1=='3':
start1=pos1-bacs
end1=pos1+fors
if ct2=='5':
start2=pos2-fors
end2=pos2+bacs
elif ct2=='3':
start2=pos2-bacs
end2=pos2+fors
if sv_type == 'DEL' or sv_type=='DUP':
target_start1=start1
target_end1=end1
target_start2=start2
target_end2=end2
elif sv_type=='INV' or sv_type=='TRA':
if ct1=='5':
target_start1=pos1-fors
target_end1=pos1+bacs
elif ct1=='3':
target_start1=pos1-bacs
target_end1=pos1+fors
if ct2=='5':
target_start2=pos2-fors
target_end2=pos2+bacs
elif ct2=='3':
target_start2=pos2-bacs
target_end2=pos2+fors
t_list1=find_SA_reads(chr1, start1, end1, chr2, target_start2, target_end2,tbam_file)
t_list2=find_SA_reads(chr2, start2, end2, chr1, target_start1, target_end1,tbam_file)
t_list=t_list1+t_list2
if len(t_list) > 0:
t_dic=collections.Counter(t_list)
t_new_list=[]
for info in t_dic.keys():
t_new_list.append(info+'('+str(t_dic[info])+')')
t_info=','.join(t_new_list)
else:
t_info='NA'
n_list1=find_SA_reads(chr1, start1, end1, chr2, target_start2, target_end2, nbam_file)
n_list2=find_SA_reads(chr2, start2, end2, chr1, target_start1, target_end1, nbam_file)
n_list=n_list1+n_list2
if len(n_list) > 0:
n_dic=collections.Counter(n_list)
n_new_list=[]
for info in n_dic.keys():
n_new_list.append(info+'('+str(n_dic[info])+')')
n_info=','.join(n_new_list)
else:
n_info='NA'
out_file.write(dl_line+'\t'+t_info+'\t'+n_info+'\n')
dl_line=dl_file.readline().strip()
| [
"[email protected]"
] | |
c156856679b73744598416c2c230ac998017c6fb | 762742b3c5cb5706e93e12dbdc3f8c46fc65f0db | /Tests/scripts/utils/get_modified_files_for_testing.py | 6333c7c2593b8c7ec585000499dfa924647c6328 | [
"MIT"
] | permissive | EmersonElectricCo/content | 018f95f7fe7de13819e093a3661587a18407e348 | 82c82bbee7d428f0b14991a88c67672e2c02f5af | refs/heads/master | 2021-06-17T04:54:22.938033 | 2021-05-06T16:39:59 | 2021-05-06T16:39:59 | 161,693,191 | 2 | 0 | MIT | 2018-12-18T15:16:49 | 2018-12-13T20:47:26 | Python | UTF-8 | Python | false | false | 8,790 | py | """
This class replaces the old get_modified_files_for_testing function in collect_tests_and_content_packs
"""
import glob
import os
from typing import Dict, Set, Optional
import demisto_sdk.commands.common.constants as constants
from demisto_sdk.commands.common.constants import FileType
from Tests.scripts.utils.collect_helpers import (
COMMON_YML_LIST,
is_pytest_file, checked_type, SECRETS_WHITE_LIST, LANDING_PAGE_SECTIONS_JSON_PATH,
)
from demisto_sdk.commands.common import tools
class ModifiedFiles:
def __init__(self,
modified_files: list,
modified_tests: list,
changed_common_files: list,
is_conf_json: bool,
sample_tests: list,
modified_metadata: set,
is_reputations_json: bool,
is_indicator_json: bool,
is_landing_page_sections_json: bool):
"""
A holder for the 'get_modified_files_for_testing' method's response
Args:
modified_files: Modified YMLs for testing (Integrations, Scripts, Playbooks).
modified_tests: Test playbooks.
changed_common_files: Globally used YMLs (Like CommonServerPython).
is_conf_json: If Tests/Conf.json has been changed.
sample_tests: Files to test, Like the infrastructures files.
modified_metadata: Pack names of changed metadata files.
is_reputations_json: If any reputation file changed.
is_indicator_json: If any indicator file changed.
is_landing_page_sections_json: If Tests/Marketplace/landingPage_sections.json has been changed
"""
self.modified_files = modified_files
self.modified_tests = modified_tests
self.changed_common_files = changed_common_files
self.is_conf_json = is_conf_json
self.sample_tests = sample_tests
self.modified_metadata = modified_metadata
self.is_reputations_json = is_reputations_json
self.is_indicator_json = is_indicator_json
self.is_landing_page_sections_json = is_landing_page_sections_json
def resolve_type(file_path: str) -> Optional[FileType]:
"""Will classify file_path that tools.find_type could not find types for.
Args:
file_path: file path to classify
Returns:
FileType. Conf.json and Metadata files.
"""
# if conf.json file
if checked_type(file_path, [constants.CONF_PATH]):
return FileType.CONF_JSON
# landingPage_sections.json file
if checked_type(file_path, [LANDING_PAGE_SECTIONS_JSON_PATH]):
return FileType.LANDING_PAGE_SECTIONS_JSON
# MetaData files
elif any(
file in file_path
for file in (
constants.PACKS_PACK_META_FILE_NAME,
constants.PACKS_WHITELIST_FILE_NAME,
)
):
return FileType.METADATA
# Whitelist file type
elif checked_type(file_path, [SECRETS_WHITE_LIST]):
return FileType.WHITE_LIST
return None
def remove_python_files(types_to_files: Dict[FileType, Set[str]]):
"""Get corresponding yml files and types from PY files.
If a corresponding yml found, will remove the py file
Args:
types_to_files: Mapping of FileType: file_paths
Returns:
Filtered types_to_files
"""
py_to_be_removed = set()
for file_path in types_to_files.get(FileType.PYTHON_FILE, set()):
if not is_pytest_file(file_path):
yml_path = get_corresponding_yml_file(file_path)
# There's a yml path
if yml_path is not None:
yml_type = tools.find_type(yml_path) or resolve_type(file_path)
if yml_type is not None:
if yml_type in types_to_files:
types_to_files[yml_type].add(yml_path)
else:
types_to_files[yml_type] = {yml_path}
py_to_be_removed.add(file_path)
else:
py_to_be_removed.add(file_path)
# remove python files
if py_to_be_removed:
types_to_files[FileType.PYTHON_FILE] = types_to_files[FileType.PYTHON_FILE] - py_to_be_removed
return types_to_files
def create_type_to_file(files_string: str) -> Dict[FileType, Set[str]]:
"""Classifies the files in the diff list (files_string) using tools.find_type
Returns:
A dict of {FileType: Set of files}
"""
types_to_files: Dict[FileType, Set[str]] = dict()
for line in files_string.split("\n"):
if line:
file_status, file_path = line.split(maxsplit=1)
file_status = file_status.lower()
# Get to right file_path on renamed
if file_status.startswith("r"):
_, file_path = file_path.split(maxsplit=1)
file_status = file_status.lower()
# ignoring deleted files.
# also, ignore files in ".circle", ".github" and ".hooks" directories and .
if file_path:
if (
file_status in ("m", "a") or file_status.startswith("r")
) and not file_path.startswith("."):
file_type = tools.find_type(file_path) or resolve_type(file_path)
if file_type in types_to_files:
types_to_files[file_type].add(file_path)
elif file_type is not None:
types_to_files[file_type] = {file_path}
types_to_files = remove_python_files(types_to_files)
return types_to_files
def remove_common_files(
types_to_files: Dict[FileType, Set[str]], changed_common_files: Set[str]) -> Dict[FileType, Set[str]]:
if changed_common_files:
types_to_files[FileType.SCRIPT] = types_to_files[FileType.SCRIPT] - changed_common_files
return types_to_files
def get_modified_files_for_testing(git_diff: str) -> ModifiedFiles:
"""
Gets git diff string and filters those files into tests:
Args:
git_diff: a git diff output (with --name-only flag)
Returns:
ModifiedFiles instance
"""
types_to_files: Dict[FileType, Set[str]] = create_type_to_file(git_diff) # Mapping of the files FileType: file path
# Checks if any common file exists in types_to_file
changed_common_files = get_common_files(types_to_files.get(FileType.SCRIPT, set()))
types_to_files = remove_common_files(types_to_files, changed_common_files)
# Sample tests are the remaining python files
sample_tests = types_to_files.get(FileType.PYTHON_FILE, set())
# Modified files = YMLs of integrations, scripts and playbooks
modified_files: Set[str] = types_to_files.get(FileType.INTEGRATION, set()).union(
types_to_files.get(FileType.SCRIPT, set()),
types_to_files.get(FileType.BETA_INTEGRATION, set()),
types_to_files.get(FileType.PLAYBOOK, set())) # Modified YMLs for testing (Integrations, Scripts, Playbooks).
# Metadata packs
modified_metadata: Set[str] = set()
for file_path in types_to_files.get(FileType.METADATA, set()):
modified_metadata.add(tools.get_pack_name(file_path))
modified_tests: Set[str] = types_to_files.get(FileType.TEST_PLAYBOOK, set()) # Modified tests are test playbooks
# Booleans. If this kind of file is inside, its exists
is_conf_json = FileType.CONF_JSON in types_to_files
is_landing_page_sections_json = FileType.LANDING_PAGE_SECTIONS_JSON in types_to_files
is_reputations_json = FileType.REPUTATION in types_to_files
is_indicator_json = FileType.INDICATOR_FIELD in types_to_files
modified_files_instance = ModifiedFiles(
list(modified_files),
list(modified_tests),
list(changed_common_files),
is_conf_json,
list(sample_tests),
modified_metadata,
is_reputations_json,
is_indicator_json,
is_landing_page_sections_json)
return modified_files_instance
def get_corresponding_yml_file(file_path: str) -> Optional[str]:
"""Gets yml files from file path.
Args:
file_path
Returns:
file path of the yml file if exists else None.
"""
try:
# Py files, Integration, script, playbook ymls
dir_path = os.path.dirname(file_path)
file_path = glob.glob(dir_path + "/*.yml")[0]
return file_path
except IndexError: # Not matching yml - sample test
return None
def get_common_files(paths_set: Set[str]) -> Set[str]:
"""Gets paths of files and return only the common yml files
Args:
paths_set: A path to find common yml files on
Returns:
intersection of the Common files list
"""
common_yml = set(COMMON_YML_LIST)
return paths_set.intersection(common_yml)
| [
"[email protected]"
] | |
0f1fe0d7b7427e43223e7a9c0c4c64f6116a45f0 | caf8cbcafd448a301997770165b323438d119f5e | /.history/spider/car_spider_20201124011404.py | ac405951f74aa797df77660aae074658fec4ce27 | [
"MIT"
] | permissive | KustomApe/nerdape | 03e0691f675f13ce2aefa46ee230111247e90c72 | aef6fb2d1f8c364b26d91bf8570b4487a24de69a | refs/heads/main | 2023-01-23T10:13:26.584386 | 2020-11-28T22:29:49 | 2020-11-28T22:29:49 | 309,897,105 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,314 | py | from selenium import webdriver
import pandas as pd
import time
"""[Initial Setting]
初期設定
"""
options = webdriver.ChromeOptions()
options.add_argument('--headeless')
options.add_argument('--disable-gpu')
options.add_argument('--lang-ja')
browser = webdriver.Chrome(chrome_options=options, executable_path='./chromedriver')
df = pd.DataFrame(columns=['name', 'image', 'price', 'category', 'car'])
url = 'https://motorz-garage.com/parts/'
"""[CSS Selector Setting]
CSSセレクターの設定
"""
PAGER_NEXT = "li.select-page.arrow a[rel='next']"
POSTS = ".product-item-list__item"
PRODUCT_NAME = ".product-item-list__item-name"
IMAGE = ".product-item-list__item-image img"
PRICE = ".product-item-list__item-price"
CATEGORY = ".product-item-list__item-category"
CAR = ".product-item-list__item-car-name"
"""[Activate Section]
実行部分
"""
browser.get(url)
while True: #Continue until getting the last page.
if len(browser.find_elements_by_css_selector(PAGER_NEXT)) > 0:
print('Starting to get posts...')
posts = browser.find_elements_by_css_selector(POSTS)
print(len(posts))
for post in posts:
try:
name = post.find_element_by_css_selector(PRODUCT_NAME).text
print(name)
thumbnailURL = post.find_element_by_css_selector(IMAGE).get_attribute('src')
print(thumbnailURL)
price = post.find_element_by_css_selector(PRICE).text
print(price)
category = post.find_element_by_css_selector(CATEGORY).text
print(category)
car = post.find_element_by_css_selector(CAR).text
print(car)
se = pd.Series([name, thumbnailURL, price, category, car], ['name', 'image', 'price', 'category', 'car'])
df.append(se, ignore_index=True)
except Exception as e:
print(e)
break
btn = browser.find_element_by_css_selector(PAGER_NEXT).get_attribute('href')
print('next url:{}'.format(btn))
time.sleep(3)
browser.get(btn)
print('Moving to next page.')
else:
print('No pager exist anymore...')
break
print('Finished Crawling. Writing out to CSV file...')
df.to_csv('car_parts.csv')
print('Done')
| [
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] | |
9bf5f9186fe2f542ae87d34473bbfe712d6079a5 | df816f41be8f02107f08b7651e9397b1c905c154 | /1_Classic_RL/Exercises/6 - TD Learning/CliffWalking/plot_utils.py | 8d5b55b91b46530e339d7d36f6b5878fe45467bf | [] | no_license | PabloRR100/Reinforcement-Learning | 7f11caeb2eb2bc68b2ae6b2b3bc7fb4b651eae68 | 8d926cdae59f89a215391ca825d9f07f778dbd96 | refs/heads/master | 2020-03-27T18:39:42.969119 | 2018-12-17T19:01:36 | 2018-12-17T19:01:36 | 146,935,269 | 1 | 2 | null | 2018-09-07T23:37:01 | 2018-08-31T19:36:43 | Jupyter Notebook | UTF-8 | Python | false | false | 620 | py | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style("white")
import warnings
warnings.filterwarnings('ignore', 'DeprecationWarning')
def plot_values(V):
# reshape the state-value function
V = np.reshape(V, (4,12))
# plot the state-value function
fig = plt.figure(figsize=(15,5))
ax = fig.add_subplot(111)
im = ax.imshow(V, cmap='cool')
for (j,i),label in np.ndenumerate(V):
ax.text(i, j, np.round(label,3), ha='center', va='center', fontsize=14)
plt.tick_params(bottom='off', left='off', labelbottom='off', labelleft='off')
plt.title('State-Value Function')
plt.show() | [
"[email protected]"
] | |
6cc279aca08425752f46c34dd433ac0d8c904369 | 94c8f0b09ced7ae86fba0d09faf4310e508c18e5 | /scaler/dp2/dp4/largest_rectangle.py | ab95e9ec10944ed6e47c17d22cc8956dfee29a56 | [] | no_license | navkant/ds_algo_practice | 6e7dd427df6ac403ac23fa68b079b162b839447a | a2b762d08b151f6dbbc12d76dd930f6cd7b9017d | refs/heads/master | 2023-06-24T02:56:25.886991 | 2021-06-13T03:42:24 | 2021-06-13T03:42:24 | 376,431,047 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,061 | py | import sys
class LargestRectangle:
def nearest_minimum_left(self, a):
n = len(a)
ans_arr = []
stack = []
for i in range(n):
if not stack:
ans_arr.append(-1)
stack.append(i)
else:
if a[i] > a[stack[-1]]:
ans_arr.append(stack[-1])
stack.append(i)
else:
while stack and a[i] <= a[stack[-1]]:
stack.pop()
if not stack:
ans_arr.append(-1)
else:
ans_arr.append(stack[-1])
stack.append(i)
return ans_arr
def nearest_minimum_right(self, a):
n = len(a)
ans_arr = []
stack = []
for i in range(n-1, -1, -1):
if not stack:
ans_arr.append(-1)
stack.append(i)
else:
if a[i] > a[stack[-1]]:
ans_arr.append(stack[-1])
stack.append(i)
else:
while stack and a[i] <= a[stack[-1]]:
stack.pop()
if not stack:
ans_arr.append(-1)
else:
ans_arr.append(stack[-1])
stack.append(i)
return ans_arr[::-1]
def largest_rectangle(self, a):
n = len(a)
left_mins = self.nearest_minimum_left(a)
right_mins = self.nearest_minimum_right(a)
# print(a)
# print(left_mins)
# print(a)
# print(right_mins)
max_area = 0
for i in range(len(a)):
left_min = left_mins[i]
right_min = right_mins[i]
height = a[i]
if left_min == -1 and right_min == -1:
width = n
elif right_min == -1:
width = n - left_min - 1
elif left_min == -1:
width = right_min
else:
width = right_min - left_min - 1
area = height * width
# print(area, end=' ')
max_area = max(max_area, area)
return max_area
class Solution:
# @param A : list of list of integers
# @return an integer
def maximalRectangle(self, A):
n = len(A[0])
m = len(A)
for i in range(1, m):
for j in range(n):
if A[i][j] == 0:
continue
A[i][j] = A[i][j] + A[i-1][j]
maxx_area = sys.maxsize * -1
obj = LargestRectangle()
for row in A:
current_area = obj.largest_rectangle(row)
maxx_area = max(maxx_area, current_area)
return maxx_area
if __name__ == '__main__':
a = [[1, 1, 1, 1, 0, 1, 1],
[0, 1, 1, 1, 1, 1, 0],
[1, 0, 0, 1, 1, 1, 1],
[1, 0, 0, 1, 1, 1, 1],
[1, 0, 0, 1, 1, 1, 1]]
obj = Solution()
ans = obj.maximalRectangle(a)
| [
"[email protected]"
] | |
fd5d20da9b0ffd715c0a27df62cb9aa1293849d8 | 1eb7fa8b1745d4e51cefb4eceb44621862516aa6 | /Company Interview/FB/regularExpressionMatching.py | 7c2ad7787f3d25cd13d93fb3a68ba0ddc93ad340 | [] | no_license | geniousisme/CodingInterview | bd93961d728f1fe266ad5edf91adc5d024e5ca48 | a64bca9c07a7be8d4060c4b96e89d8d429a7f1a3 | refs/heads/master | 2021-01-10T11:15:31.305787 | 2017-03-06T00:03:13 | 2017-03-06T00:03:13 | 43,990,453 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,401 | py | class Solution(object):
def isMatch(self, string, pattern):
if not pattern:
return not string
if len(pattern) == 1 or pattern[1] != "*":
if len(string) > 0 and (pattern[0] == string[0] or pattern[0] == '.'):
return self.isMatch(string[1:], pattern[1:])
else:
while len(string) > 0 and (pattern[0] == string[0] or pattern[0] == '.'):
if self.isMatch(string, pattern[2:]):
return True
string = string[1:]
return self.isMatch(string, pattern[2:])
class Solution(object):
def isMatch(self, string, pattern):
dp = [[False for _ in xrange(len(pattern) + 1)] for _ in xrange(len(string) + 1)]
dp[0][0] = True
for j in xrange(2, len(pattern) + 1):
if pattern[j - 1] == "*":
dp[0][j] = dp[0][j - 2]
for i in xrange(1, len(string) + 1):
for j in xrange(1, len(pattern) + 1):
if pattern[j - 1] == ".":
dp[i][j] = dp[i - 1][j - 1]
elif pattern[j - 1] == "*":
dp[i][j] = dp[i][j - 1] or dp[i][j - 2] or (dp[i - 1][j] and (string[i - 1] == pattern[j - 2] or pattern[j - 2] == '.'))
else:
dp[i][j] = dp[i - 1][j - 1] and string[i - 1] == pattern[j - 1]
return dp[-1][-1]
| [
"[email protected]"
] | |
195a360a6648a5e09af02d18b5658a57ef3334fd | 158bee983b2cf6586b64ed499a05eb816f898fda | /aws/pdfbook/browser/__init__.py | 4a7b943a175af8909c0f6e2ca7a0c68515e7b4ea | [] | no_license | collective/aws.pdfbook | 35a8bd05eee4a7e94c6ac8ec415c213a289f664d | e8c72ab4a46cff832994dd3623025be8093dfdda | refs/heads/master | 2023-06-26T13:38:25.735929 | 2018-03-02T12:05:57 | 2018-03-02T12:05:57 | 12,920,175 | 0 | 0 | null | 2018-03-02T12:06:00 | 2013-09-18T10:25:53 | Python | UTF-8 | Python | false | false | 123 | py | # -*- coding: utf-8 -*-
# $Id: __init__.py 116190 2010-04-26 20:36:44Z glenfant $
"""Browser view resources for PDFBook"""
| [
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] | |
6b6d42eb3d030728790f8497fe392eada6aed1ca | 7f4fae8e0a9e29fc3abee784a2d7d0beb8252bd5 | /wulifang/nuke/_rotopaint_dopesheet.py | 23d06b434f378fa9e35ffc0575925e1cbec8a39d | [] | no_license | WuLiFang/Nuke | a303646e927c9745f2eaf8dad4e5e1ccc09a30e7 | 49df48ded0985771147b1a40707b5454291eab19 | refs/heads/master | 2023-07-21T13:36:27.423572 | 2023-07-17T10:34:04 | 2023-07-17T10:34:04 | 100,696,180 | 16 | 5 | null | 2020-03-08T11:50:16 | 2017-08-18T09:28:26 | Python | UTF-8 | Python | false | false | 5,497 | py | # -*- coding=UTF-8 -*-
# pyright: strict, reportTypeCommentUsage=none
from __future__ import absolute_import, division, print_function, unicode_literals
import re
import nuke
import nuke.rotopaint
import nuke.curvelib
from wulifang._util import cast_str, cast_text
from wulifang.nuke._util import (
iter_deep_rotopaint_element,
Panel as _Panel,
CurrentViewer,
raise_panel,
RotopaintLifeTimeType,
knob_of,
RotoKnob,
)
TYPE_CHECKING = False
if TYPE_CHECKING:
from wulifang._compat.str import Str
def _rotopaint_keyframes(n):
# type: (nuke.Node) -> ...
key_frames = set([n.firstFrame(), n.lastFrame()])
for i in iter_deep_rotopaint_element(knob_of(n, "curves", RotoKnob).rootLayer):
if isinstance(
i,
(
nuke.rotopaint.Shape,
nuke.rotopaint.Stroke,
),
):
attrs = i.getAttributes()
lifetime_type = attrs.getValue(0, attrs.kLifeTimeTypeAttribute)
if lifetime_type == RotopaintLifeTimeType.ALL:
continue
key_frames.add(int(attrs.getValue(0, attrs.kLifeTimeMAttribute)))
key_frames.add(int(attrs.getValue(0, attrs.kLifeTimeNAttribute)))
return sorted(key_frames)
def apply_timewarp(rotopaint, timewarp, all_stroke=False):
# type: (nuke.Node, nuke.Node, bool) -> None
"""Apply timewarp to rotopaint node
Args:
rotopaint (nuke.Node): RotoPaint node
timewarp (nuke.Node): TimeWarp node
all_stroke (bool, optional): whether apply to invisible stroke.
Defaults to False.
"""
root_layer = knob_of(rotopaint, "curves", RotoKnob).rootLayer
lookup = timewarp[cast_str("lookup")]
time_map = {
int(match[1]): int(match[0])
for match in re.findall(
r"x(\d+) (\d+)",
cast_text(lookup.toScript()),
)
}
def apply_lookup(attrs, key):
# type: (nuke.curvelib.AnimAttributes, Str) -> None
input_time = int(attrs.getValue(0, key))
if input_time not in time_map:
nuke.message(
cast_str(
"在 {}.input 中找不到值为 {} 的关键帧".format(timewarp.name(), input_time)
)
)
raise ValueError("timewarp lookup failed")
output_time = time_map[int(input_time)]
attrs.set(key, output_time)
for i in iter_deep_rotopaint_element(root_layer):
if isinstance(
i,
(
nuke.rotopaint.Shape,
nuke.rotopaint.Stroke,
),
):
attrs = i.getAttributes()
lifetime_type = attrs.getValue(0, attrs.kLifeTimeTypeAttribute)
if lifetime_type == RotopaintLifeTimeType.ALL:
continue
if not all_stroke and not attrs.getValue(
nuke.frame(), attrs.kVisibleAttribute
):
continue
apply_lookup(attrs, attrs.kLifeTimeNAttribute)
apply_lookup(attrs, attrs.kLifeTimeMAttribute)
class Panel(_Panel):
"""Panel for rotopaint dopesheet command."""
def __init__(
self,
rotopaint, # type: nuke.Node
):
# type: (...) -> None
super(Panel, self).__init__(
cast_str("RotoPaint摄影表"),
cast_str("com.wlf-studio.rotopaint-dopesheet"),
)
if cast_text(rotopaint.Class()) != "RotoPaint":
nuke.message(cast_str("请选中RotoPaint节点"))
raise ValueError("require roto paint node")
self.rotopaint = rotopaint
n = nuke.createNode(cast_str("TimeWarp"))
n.setInput(0, rotopaint)
k = knob_of(n, "lookup", nuke.Array_Knob)
k.fromScript(
cast_str(
"{curve L l %s}"
% (
" ".join(
"x{} {}".format(i, i) for i in _rotopaint_keyframes(rotopaint)
),
)
)
)
k.setExpression(cast_str("floor(curve)"))
n.showControlPanel()
CurrentViewer.show(n)
self.timewarp = n
rotopaint.hideControlPanel()
k = nuke.Text_Knob(
cast_str(""),
cast_str("说明"),
cast_str(
"请在摄影表中编辑 %s.lookup 然后选择以下操作" % (cast_text(self.timewarp.name()),)
),
)
self.addKnob(k)
k = nuke.Script_Knob(cast_str("apply"), cast_str("应用至可见笔画"))
self.addKnob(k)
k = nuke.Script_Knob(cast_str("apply_all"), cast_str("应用至所有笔画"))
self.addKnob(k)
k = nuke.Script_Knob(cast_str("cancel"), cast_str("Cancel"))
self.addKnob(k)
def show(self):
super(Panel, self).show()
raise_panel("DopeSheet.1")
def knobChanged(self, knob):
# type: (nuke.Knob) -> None
is_finished = False
if knob is self["apply"]:
apply_timewarp(self.rotopaint, self.timewarp)
is_finished = True
elif knob is self["apply_all"]:
apply_timewarp(self.rotopaint, self.timewarp, True)
is_finished = True
elif knob is self["cancel"]:
is_finished = True
if is_finished:
nuke.delete(self.timewarp)
self.rotopaint.showControlPanel()
self.destroy()
raise_panel("DAG.1")
| [
"[email protected]"
] | |
1ef74bbd7592936fff5d016713ea948ded5646f2 | af4d559792c4255d5f26bc078cd176b70c0e643f | /hpsklearn/components/cross_decomposition/_pls.py | bdad86189563c644c43df8232c49ae1312194937 | [
"BSD-3-Clause"
] | permissive | hyperopt/hyperopt-sklearn | ec7d5f97ba8fd5a2c283dfec2fa9e0170b61c6ce | 4b3f6fde3a1ded2e71e8373d52c1b51a0239ef91 | refs/heads/master | 2023-08-02T07:19:20.259964 | 2022-12-15T17:53:07 | 2022-12-15T17:53:07 | 8,293,893 | 1,480 | 292 | NOASSERTION | 2022-12-15T17:53:08 | 2013-02-19T16:09:53 | Python | UTF-8 | Python | false | false | 3,586 | py | import typing
from hpsklearn.components._base import validate
from hyperopt.pyll import scope, Apply
from hyperopt import hp
from sklearn import cross_decomposition
import numpy as np
@scope.define
def sklearn_CCA(*args, **kwargs):
return cross_decomposition.CCA(*args, **kwargs)
@scope.define
def sklearn_PLSCanonical(*args, **kwargs):
return cross_decomposition.PLSCanonical(*args, **kwargs)
@scope.define
def sklearn_PLSRegression(*args, **kwargs):
return cross_decomposition.PLSRegression(*args, **kwargs)
def _pls_n_components(name: str):
"""
Declaration search space 'n_components' parameter
"""
return hp.choice(name, [1, 2])
def _pls_max_iter(name: str):
"""
Declaration search space 'max_iter' parameter
"""
return scope.int(hp.uniform(name, 350, 650))
def _pls_tol(name: str):
"""
Declaration search space 'tol' parameter
"""
return hp.loguniform(name, np.log(1e-7), np.log(1e-5))
def _pls_hp_space(
name_func,
n_components: typing.Union[int, Apply] = None,
scale: bool = True,
max_iter: typing.Union[int, Apply] = None,
tol: typing.Union[float, Apply] = None,
copy: bool = True
):
"""
Hyper parameter search space for
cca
pls canonical
pls regression
"""
hp_space = dict(
n_components=_pls_n_components(name_func("n_components")) if n_components is None else n_components,
scale=scale,
max_iter=_pls_max_iter(name_func("max_iter")) if max_iter is None else max_iter,
tol=_pls_tol(name_func("tol")) if tol is None else tol,
copy=copy
)
return hp_space
def cca(name: str, **kwargs):
"""
Return a pyll graph with hyperparameters that will construct
a sklearn.cross_decomposition.CCA model.
Args:
name: name | str
See help(hpsklearn.components.cross_decomposition._pls._pls_hp_space)
for info on additional available pls arguments.
"""
def _name(msg):
return f"{name}.cca_{msg}"
hp_space = _pls_hp_space(_name, **kwargs)
return scope.sklearn_CCA(**hp_space)
@validate(params=["algorithm"],
validation_test=lambda param: not isinstance(param, str) or param in ["nipals", "svd"],
msg="Invalid parameter '%s' with value '%s'. Value must be in ['nipals', 'svd'].")
def pls_canonical(name: str, algorithm: typing.Union[str, Apply] = None, **kwargs):
"""
Return a pyll graph with hyperparameters that will construct
a sklearn.cross_decomposition.PLSCanonical model.
Args:
name: name | str
algorithm: algorithm for first singular vectors | str
See help(hpsklearn.components.cross_decomposition._pls._pls_hp_space)
for info on additional available pls arguments.
"""
def _name(msg):
return f"{name}.pls_canonical_{msg}"
hp_space = _pls_hp_space(_name, **kwargs)
hp_space["algorithm"] = hp.choice(_name("algorithm"), ["nipals", "svd"]) if algorithm is None else algorithm
return scope.sklearn_PLSCanonical(**hp_space)
def pls_regression(name: str, **kwargs):
"""
Return a pyll graph with hyperparameters that will construct
a sklearn.cross_decomposition.PLSRegression model.
Args:
name: name | str
See help(hpsklearn.components.cross_decomposition._pls._pls_hp_space)
for info on additional available pls arguments.
"""
def _name(msg):
return f"{name}.pls_regression_{msg}"
hp_space = _pls_hp_space(_name, **kwargs)
return scope.sklearn_PLSRegression(**hp_space)
| [
"[email protected]"
] | |
eb4a254fb36a421c34158c7005be74caf6428b30 | d56da1af021d7ebb876b70e7a7c3c3b2ac28087e | /dpxdt/server/operations.py | 4a4808f4ebcdde1cb227f4bb16d43c91e29929af | [
"Apache-2.0"
] | permissive | rudbaby/dpxdt | 7173146ea7d8e27a7db10732e4258605af8c7e82 | 8fbf14bb45ac01932fa5ca170d15c54880db5eff | refs/heads/master | 2022-11-19T18:03:57.823869 | 2013-08-05T08:23:06 | 2013-08-05T08:23:06 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 11,276 | py | #!/usr/bin/env python
# Copyright 2013 Brett Slatkin
#
# 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.
"""Cacheable operations and eviction for models in the frontend."""
import functools
import logging
# Local libraries
import sqlalchemy
# Local modules
from . import app
from . import cache
from . import db
from dpxdt.server import models
from dpxdt.server import signals
class UserOps(object):
"""Cacheable operations for user-specified information."""
def __init__(self, user_id):
self.user_id = user_id
# For Flask-Cache keys
def __repr__(self):
return 'caching.UserOps(user_id=%r)' % self.user_id
@cache.memoize(per_instance=True)
def load(self):
if not self.user_id:
return None
user = models.User.query.get(self.user_id)
if user:
db.session.expunge(user)
return user
@cache.memoize(per_instance=True)
def get_builds(self):
if self.user_id:
user = models.User.query.get(self.user_id)
build_list = (
user.builds
.order_by(models.Build.created.desc())
.limit(1000)
.all())
else:
# Anonymous users see only public builds
build_list = (
models.Build.query
.filter_by(public=True)
.order_by(models.Build.created.desc())
.limit(1000)
.all())
for build in build_list:
db.session.expunge(build)
return build_list
@cache.memoize(per_instance=True)
def owns_build(self, build_id):
build = models.Build.query.get(build_id)
user_is_owner = False
if build:
user_is_owner = build.is_owned_by(self.user_id)
db.session.expunge(build)
return build, user_is_owner
def evict(self):
"""Evict all caches related to this user."""
logging.debug('Evicting cache for %r', self)
cache.delete_memoized(self.load)
cache.delete_memoized(self.get_builds)
cache.delete_memoized(self.owns_build)
class BuildOps(object):
"""Cacheable operations for build-specific operations."""
def __init__(self, build_id):
self.build_id = build_id
# For Flask-Cache keys
def __repr__(self):
return 'caching.BuildOps(build_id=%r)' % self.build_id
@staticmethod
def sort_run(run):
"""Sort function for runs within a release."""
# Sort errors first, then by name. Also show errors that were manually
# approved, so the paging sort order stays the same even after users
# approve a diff on the run page.
if run.status in models.Run.DIFF_NEEDED_STATES:
return (0, run.name)
return (1, run.name)
@staticmethod
def get_stats_keys(status):
if status in (models.Run.DIFF_APPROVED,
models.Run.DIFF_NOT_FOUND):
return ('runs_successful', 'runs_complete', 'runs_total')
elif status == models.Run.DIFF_FOUND:
return ('runs_failed', 'runs_complete', 'runs_total')
elif status == models.Run.NO_DIFF_NEEDED:
return ('runs_baseline',)
elif status == models.Run.NEEDS_DIFF:
return ('runs_total',)
return ()
@cache.memoize(per_instance=True)
def get_candidates(self, page_size, offset):
candidate_list = (
models.Release.query
.filter_by(build_id=self.build_id)
.order_by(models.Release.created.desc())
.offset(offset)
.limit(page_size + 1)
.all())
stats_counts = []
has_next_page = len(candidate_list) > page_size
if has_next_page:
candidate_list = candidate_list[:-1]
if candidate_list:
candidate_keys = [c.id for c in candidate_list]
stats_counts = (
db.session.query(
models.Run.release_id,
models.Run.status,
sqlalchemy.func.count(models.Run.id))
.join(models.Release)
.filter(models.Release.id.in_(candidate_keys))
.group_by(models.Run.status, models.Run.release_id)
.all())
for candidate in candidate_list:
db.session.expunge(candidate)
return has_next_page, candidate_list, stats_counts
@cache.memoize(per_instance=True)
def get_release(self, release_name, release_number):
release = (
models.Release.query
.filter_by(
build_id=self.build_id,
name=release_name,
number=release_number)
.first())
if not release:
return None, None, None
run_list = list(release.runs)
run_list.sort(key=BuildOps.sort_run)
stats_dict = dict(
runs_total=0,
runs_complete=0,
runs_successful=0,
runs_failed=0,
runs_baseline=0)
for run in run_list:
for key in self.get_stats_keys(run.status):
stats_dict[key] += 1
approval_log = None
if release.status in (models.Release.GOOD, models.Release.BAD):
approval_log = (
models.AdminLog.query
.filter_by(release_id=release.id)
.filter(models.AdminLog.log_type.in_(
(models.AdminLog.RELEASE_BAD,
models.AdminLog.RELEASE_GOOD)))
.order_by(models.AdminLog.created.desc())
.first())
for run in run_list:
db.session.expunge(run)
if approval_log:
db.session.expunge(approval_log)
return release, run_list, stats_dict, approval_log
def _get_next_previous_runs(self, run):
next_run = None
previous_run = None
# We sort the runs in the release by diffs first, then by name.
# Simulate that behavior here with multiple queries.
if run.status in models.Run.DIFF_NEEDED_STATES:
previous_run = (
models.Run.query
.filter_by(release_id=run.release_id)
.filter(models.Run.status.in_(models.Run.DIFF_NEEDED_STATES))
.filter(models.Run.name < run.name)
.order_by(models.Run.name.desc())
.first())
next_run = (
models.Run.query
.filter_by(release_id=run.release_id)
.filter(models.Run.status.in_(models.Run.DIFF_NEEDED_STATES))
.filter(models.Run.name > run.name)
.order_by(models.Run.name)
.first())
if not next_run:
next_run = (
models.Run.query
.filter_by(release_id=run.release_id)
.filter(
~models.Run.status.in_(models.Run.DIFF_NEEDED_STATES))
.order_by(models.Run.name)
.first())
else:
previous_run = (
models.Run.query
.filter_by(release_id=run.release_id)
.filter(~models.Run.status.in_(models.Run.DIFF_NEEDED_STATES))
.filter(models.Run.name < run.name)
.order_by(models.Run.name.desc())
.first())
next_run = (
models.Run.query
.filter_by(release_id=run.release_id)
.filter(~models.Run.status.in_(models.Run.DIFF_NEEDED_STATES))
.filter(models.Run.name > run.name)
.order_by(models.Run.name)
.first())
if not previous_run:
previous_run = (
models.Run.query
.filter_by(release_id=run.release_id)
.filter(
models.Run.status.in_(models.Run.DIFF_NEEDED_STATES))
.order_by(models.Run.name.desc())
.first())
return next_run, previous_run
@cache.memoize(per_instance=True)
def get_all_runs(self, release_name, release_number):
run_list = (
models.Run.query
.join(models.Release)
.filter(models.Release.name == release_name)
.filter(models.Release.number == release_number)
.filter(models.Run.name == test_name)
.all())
run_list.sort(key=BuildOps.sort_run)
run_ids = [run.id for run in run_list]
approval_log_list = (
models.AdminLog.query
.filter(models.AdminLog.run_id.in_(run_ids))
.filter_by(log_type=models.AdminLog.RUN_APPROVED)
.group_by(models.AdminLog.run_id)
.order_by(models.AdminLog.created.desc())
.first())
@cache.memoize(per_instance=True)
def get_run(self, release_name, release_number, test_name):
run = (
models.Run.query
.join(models.Release)
.filter(models.Release.name == release_name)
.filter(models.Release.number == release_number)
.filter(models.Run.name == test_name)
.first())
if not run:
return None, None, None, None
next_run, previous_run = self._get_next_previous_runs(run)
approval_log = None
if run.status == models.Run.DIFF_APPROVED:
approval_log = (
models.AdminLog.query
.filter_by(run_id=run.id,
log_type=models.AdminLog.RUN_APPROVED)
.order_by(models.AdminLog.created.desc())
.first())
if run:
db.session.expunge(run)
if next_run:
db.session.expunge(next_run)
if previous_run:
db.session.expunge(previous_run)
if approval_log:
db.session.expunge(approval_log)
return run, next_run, previous_run, approval_log
def evict(self):
"""Evict all caches relating to this build."""
logging.debug('Evicting cache for %r', self)
cache.delete_memoized(self.get_candidates)
cache.delete_memoized(self.get_release)
cache.delete_memoized(self.get_run)
# Connect Frontend and API events to cache eviction.
def _evict_user_cache(sender, user=None, build=None):
UserOps(user.get_id()).evict()
def _evict_build_cache(sender, build=None, release=None, run=None):
BuildOps(build.id).evict()
signals.build_updated.connect(_evict_user_cache, app)
signals.release_updated_via_api.connect(_evict_build_cache, app)
signals.run_updated_via_api.connect(_evict_build_cache, app)
| [
"[email protected]"
] | |
6be9a2f554cfe414a831a4e52764e37f7205a2d7 | 53b9432487fbb62a5f48d37754d0404e2672a0f7 | /facebookspider-master2/facebookspider/redyurl.py | 038eeda369fb5b503d2adbd739ca578de300743c | [] | no_license | swg0110/facebook_spider | ff7c3caeb76fccd3bbc2b23b586a2b5825a77598 | a5e3b12d56cb2759942b486b7f4da3b94dfa6839 | refs/heads/master | 2021-09-17T18:33:09.636336 | 2018-07-04T11:53:14 | 2018-07-04T11:53:14 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 860 | py | #-*- coding: UTF-8 -*-
import pymongo
import time
from datetime import datetime
# import sys
# reload(sys)
# sys.setdefaultencoding('utf8')
client = pymongo.MongoClient(host="127.0.0.1", port=27017)
db = client["singapore"]
db.authenticate("yufei", "xjtu@2017")
coll = db["facebook2"]
a = coll.find()
print (a.count())
coll = db["singaporeredyurl"]
coll.ensure_index('url', unique=True)
str1 = '全部好友'
for i in a:
try:
for j in i['friendsList'][str1.decode()]:
a = {}
a['name'] = j['name']
a['picture'] = j['picture']
a['url'] = j['url']
a['time'] = i['time']
a['sign'] = 'f'
try:
coll.insert(a)
except:
print ('重复')
pass
except:
print ('出错')
print (i['friendsList'])
| [
"[email protected]"
] | |
a67fb27375b43889f824b029ae74c17f764a8f1a | 02abe19ffa1b832c989911807cc01c10c83c92bc | /src/djangosaml2_spid/views.py | e3e370420663cb3759b027e457c2ff651a02319b | [
"Apache-2.0"
] | permissive | peppelinux/djangosaml2_spid | b244a8b007486f815ac86aed44fa28466bd5373e | b7bda086e8da081e28aa337e6eab1b5ef84679d0 | refs/heads/main | 2023-03-03T21:07:01.046213 | 2021-02-16T09:24:38 | 2021-02-16T09:24:38 | 335,000,403 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 19,792 | py | import base64
import logging
import random
import saml2
import string
from django.conf import settings
from django.contrib import auth
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib.auth.models import User
from django.contrib.auth.decorators import login_required
from django.dispatch import receiver
from django.http import HttpResponse, HttpResponseRedirect, HttpResponseBadRequest
from django.shortcuts import render
from django.template import TemplateDoesNotExist
from django.urls import reverse
from djangosaml2.conf import get_config
from djangosaml2.cache import IdentityCache, OutstandingQueriesCache
from djangosaml2.cache import StateCache
from djangosaml2.conf import get_config
from djangosaml2.overrides import Saml2Client
from djangosaml2.signals import post_authenticated, pre_user_save
from djangosaml2.utils import (
available_idps, get_custom_setting,
get_idp_sso_supported_bindings, get_location,
validate_referral_url
)
from djangosaml2.views import (finish_logout,
_get_subject_id,
SPConfigMixin, View)
from saml2 import BINDING_HTTP_REDIRECT, BINDING_HTTP_POST
from saml2.authn_context import requested_authn_context
from saml2.metadata import entity_descriptor, sign_entity_descriptor
from saml2.sigver import security_context
from .utils import repr_saml
logger = logging.getLogger('djangosaml2')
def index(request):
""" Barebone 'diagnostics' view, print user attributes if logged in + login/logout links.
"""
if request.user.is_authenticated:
out = "LOGGED IN: <a href={0}>LOGOUT</a><br>".format(settings.LOGOUT_URL)
out += "".join(['%s: %s</br>' % (field.name, getattr(request.user, field.name))
for field in request.user._meta.get_fields()
if field.concrete])
return HttpResponse(out)
else:
return HttpResponse("LOGGED OUT: <a href={0}>LOGIN</a>".format(settings.LOGIN_URL))
# @receiver(pre_user_save, sender=User)
# def custom_update_user(sender, instance, attributes, user_modified, **kargs):
# """ Default behaviour does not play nice with booleans encoded in SAML as u'true'/u'false'.
# This will convert those attributes to real booleans when saving.
# """
# for k, v in attributes.items():
# u = set.intersection(set(v), set([u'true', u'false']))
# if u:
# setattr(instance, k, u.pop() == u'true')
# return True # I modified the user object
def spid_sp_authn_request(conf, selected_idp, binding,
name_id_format, authn_context,
sig_alg, dig_alg, next_url=''):
client = Saml2Client(conf)
logger.debug(f'Redirecting user to the IdP via {binding} binding.')
# use the html provided by pysaml2 if no template was specified or it didn't exist
# SPID want the fqdn of the IDP, not the SSO endpoint
location_fixed = selected_idp
location = client.sso_location(selected_idp, binding)
authn_req = saml2.samlp.AuthnRequest()
authn_req.destination = location_fixed
# spid-testenv2 preleva l'attribute consumer service dalla authnRequest (anche se questo sta già nei metadati...)
authn_req.attribute_consuming_service_index = "0"
# issuer
issuer = saml2.saml.Issuer()
issuer.name_qualifier = client.config.entityid
issuer.text = client.config.entityid
issuer.format = "urn:oasis:names:tc:SAML:2.0:nameid-format:entity"
authn_req.issuer = issuer
# message id
authn_req.id = saml2.s_utils.sid()
authn_req.version = saml2.VERSION # "2.0"
authn_req.issue_instant = saml2.time_util.instant()
name_id_policy = saml2.samlp.NameIDPolicy()
# del(name_id_policy.allow_create)
name_id_policy.format = name_id_format # settings.SPID_NAMEID_FORMAT
authn_req.name_id_policy = name_id_policy
# settings.SPID_AUTH_CONTEXT
authn_context = requested_authn_context(class_ref=authn_context)
authn_req.requested_authn_context = authn_context
# force_auth = true only if SpidL >= 2
# if 'SpidL1' in authn_context.authn_context_class_ref[0].text:
# force_authn = 'false'
# else:
force_authn = 'true'
authn_req.force_authn = force_authn
# end force authn
# settings.SPID_DEFAULT_BINDING
authn_req.protocol_binding = binding
assertion_consumer_service_url = client.config._sp_endpoints['assertion_consumer_service'][0][0]
authn_req.assertion_consumer_service_url = assertion_consumer_service_url
authn_req_signed = client.sign(authn_req, sign_prepare=False,
sign_alg=sig_alg,
digest_alg=dig_alg,
)
logger.debug(f'AuthRequest to {selected_idp}: {authn_req_signed}')
relay_state = next_url or reverse('djangosaml2:saml2_echo_attributes')
http_info = client.apply_binding(binding,
authn_req_signed, location,
sign=True,
sigalg=sig_alg,
relay_state = relay_state)
return dict(http_response = http_info,
authn_request = authn_req_signed,
relay_state = relay_state,
session_id = authn_req.id
)
def spid_login(request,
config_loader_path=None,
wayf_template='wayf.html',
authorization_error_template='djangosaml2/auth_error.html'):
"""SAML Authorization Request initiator
This view initiates the SAML2 Authorization handshake
using the pysaml2 library to create the AuthnRequest.
It uses the SAML 2.0 Http POST protocol binding.
"""
logger.debug('SPID Login process started')
next_url = request.GET.get('next', settings.LOGIN_REDIRECT_URL)
if not next_url:
logger.warning('The next parameter exists but is empty')
next_url = settings.LOGIN_REDIRECT_URL
# Ensure the user-originating redirection url is safe.
if not validate_referral_url(request, next_url):
next_url = settings.LOGIN_REDIRECT_URL
if callable(request.user.is_authenticated):
redirect_authenticated_user = getattr(settings,
'SAML_IGNORE_AUTHENTICATED_USERS_ON_LOGIN',
True)
if redirect_authenticated_user:
return HttpResponseRedirect(next_url)
else:
logger.debug('User is already logged in')
return render(request, authorization_error_template, {
'came_from': next_url})
# this works only if request came from wayf
selected_idp = request.GET.get('idp', None)
conf = get_config(config_loader_path, request)
# is a embedded wayf needed?
idps = available_idps(conf)
if selected_idp is None and len(idps) > 1:
logger.debug('A discovery process is needed')
return render(request, wayf_template,
{
'available_idps': idps.items(),
'next_url': next_url
}
)
else:
# otherwise is the first one
try:
selected_idp = selected_idp or list(idps.keys())[0]
except TypeError as e:
logger.error('Unable to know which IdP to use')
return HttpResponse(text_type(e))
binding = BINDING_HTTP_POST
logger.debug(f'Trying binding {binding} for IDP {selected_idp}')
# ensure our selected binding is supported by the IDP
supported_bindings = get_idp_sso_supported_bindings(selected_idp, config=conf)
if binding != BINDING_HTTP_POST:
raise UnsupportedBinding('IDP %s does not support %s or %s',
selected_idp, BINDING_HTTP_POST, BINDING_HTTP_REDIRECT)
# SPID things here
login_response = spid_sp_authn_request(conf,
selected_idp,
binding,
settings.SPID_NAMEID_FORMAT,
settings.SPID_AUTH_CONTEXT,
settings.SPID_SIG_ALG,
settings.SPID_DIG_ALG,
next_url
)
session_id = login_response['session_id']
http_response = login_response['http_response']
# success, so save the session ID and return our response
logger.debug(f'Saving session-id {session_id} in the OutstandingQueries cache')
oq_cache = OutstandingQueriesCache(request.saml_session)
oq_cache.set(session_id, next_url)
return HttpResponse(http_response['data'])
@login_required
def spid_logout(request, config_loader_path=None, **kwargs):
"""SAML Logout Request initiator
This view initiates the SAML2 Logout request
using the pysaml2 library to create the LogoutRequest.
"""
state = StateCache(request.saml_session)
conf = get_config(config_loader_path, request)
client = Saml2Client(conf, state_cache=state,
identity_cache=IdentityCache(request.saml_session))
# whatever happens, however, the user will be logged out of this sp
auth.logout(request)
state.sync()
subject_id = _get_subject_id(request.saml_session)
if subject_id is None:
logger.warning(
'The session does not contain the subject id for user %s',
request.user)
logger.error("Looks like the user %s is not logged in any IdP/AA", subject_id)
return HttpResponseBadRequest("You are not logged in any IdP/AA")
slo_req = saml2.samlp.LogoutRequest()
binding = settings.SPID_DEFAULT_BINDING
location_fixed = subject_id.name_qualifier
location = location_fixed
slo_req.destination = location_fixed
# spid-testenv2 preleva l'attribute consumer service dalla authnRequest (anche se questo sta già nei metadati...)
slo_req.attribute_consuming_service_index = "0"
issuer = saml2.saml.Issuer()
issuer.name_qualifier = client.config.entityid
issuer.text = client.config.entityid
issuer.format = "urn:oasis:names:tc:SAML:2.0:nameid-format:entity"
slo_req.issuer = issuer
# message id
slo_req.id = saml2.s_utils.sid()
slo_req.version = saml2.VERSION # "2.0"
slo_req.issue_instant = saml2.time_util.instant()
# oggetto
slo_req.name_id = subject_id
try:
session_info = client.users.get_info_from(slo_req.name_id,
subject_id.name_qualifier,
False)
except KeyError as e:
logger.error(f'SPID Logout error: {e}')
return HttpResponseRedirect('/')
session_indexes = [session_info['session_index']]
# aggiungere session index
if session_indexes:
sis = []
for si in session_indexes:
if isinstance(si, saml2.samlp.SessionIndex):
sis.append(si)
else:
sis.append(saml2.samlp.SessionIndex(text=si))
slo_req.session_index = sis
slo_req.protocol_binding = binding
assertion_consumer_service_url = client.config._sp_endpoints['assertion_consumer_service'][0][0]
slo_req.assertion_consumer_service_url = assertion_consumer_service_url
slo_req_signed = client.sign(slo_req, sign_prepare=False,
sign_alg=settings.SPID_SIG_ALG,
digest_alg=settings.SPID_DIG_ALG)
session_id = slo_req.id
_req_str = slo_req_signed
logger.debug('LogoutRequest to {}: {}'.format(subject_id.name_qualifier,
repr_saml(_req_str)))
# get slo from metadata
slo_location = None
# for k,v in client.metadata.metadata.items():
# idp_nq = v.entity.get(subject_id.name_qualifier)
# if idp_nq:
# slo_location = idp_nq['idpsso_descriptor'][0]['single_logout_service'][0]['location']
slo_location = client.metadata.single_logout_service(subject_id.name_qualifier,
binding,
"idpsso")[0]['location']
if not slo_location:
logger.error('Unable to know SLO endpoint in {}'.format(subject_id.name_qualifier))
return HttpResponse(text_type(e))
http_info = client.apply_binding(binding,
_req_str,
slo_location,
sign=True,
sigalg=settings.SPID_SIG_ALG
)
state.sync()
return HttpResponse(http_info['data'])
def spid_sp_metadata(conf):
metadata = entity_descriptor(conf)
# this will renumber acs starting from 0 and set index=0 as is_default
cnt = 0
for attribute_consuming_service in metadata.spsso_descriptor.attribute_consuming_service:
attribute_consuming_service.index = str(cnt)
cnt += 1
cnt = 0
for assertion_consumer_service in metadata.spsso_descriptor.assertion_consumer_service:
assertion_consumer_service.is_default = 'true' if not cnt else ''
assertion_consumer_service.index = str(cnt)
cnt += 1
# nameformat patch... non proprio standard
for reqattr in metadata.spsso_descriptor.attribute_consuming_service[0].requested_attribute:
reqattr.name_format = None #"urn:oasis:names:tc:SAML:2.0:attrname-format:basic"
# reqattr.is_required = None
reqattr.friendly_name = None
# remove unecessary encryption and digest algs
# supported_algs = ['http://www.w3.org/2009/xmldsig11#dsa-sha256',
# 'http://www.w3.org/2001/04/xmldsig-more#rsa-sha256']
# new_list = []
# for alg in metadata.extensions.extension_elements:
# if alg.attributes.get('Algorithm') in supported_algs:
# new_list.append(alg)
# metadata.extensions.extension_elements = new_list
# ... Piuttosto non devo specificare gli algoritmi di firma/criptazione...
metadata.extensions = None
# attribute consuming service service name patch
service_name = metadata.spsso_descriptor.attribute_consuming_service[0].service_name[0]
service_name.lang = 'it'
service_name.text = conf._sp_name
##############
# avviso 29 v3
#
# https://www.agid.gov.it/sites/default/files/repository_files/spid-avviso-n29v3-specifiche_sp_pubblici_e_privati_0.pdf
saml2.md.SamlBase.register_prefix(settings.SPID_PREFIXES)
contact_map = settings.SPID_CONTACTS
cnt = 0
metadata.contact_person = []
for contact in contact_map:
spid_contact = saml2.md.ContactPerson()
spid_contact.contact_type = contact['contact_type']
contact_kwargs = {
'email_address' : [contact['email_address']],
'telephone_number' : [contact['telephone_number']]
}
if contact['contact_type'] == 'other':
spid_contact.loadd(contact_kwargs)
contact_kwargs['contact_type'] = contact['contact_type']
spid_extensions = saml2.ExtensionElement(
'Extensions',
namespace='urn:oasis:names:tc:SAML:2.0:metadata'
)
for k,v in contact.items():
if k in contact_kwargs: continue
ext = saml2.ExtensionElement(
k,
namespace=settings.SPID_PREFIXES['spid'],
text=v
)
spid_extensions.children.append(ext)
elif contact['contact_type'] == 'billing':
contact_kwargs['company'] = contact['company']
spid_contact.loadd(contact_kwargs)
spid_extensions = saml2.ExtensionElement(
'Extensions',
namespace='urn:oasis:names:tc:SAML:2.0:metadata'
)
elements = {}
for k,v in contact.items():
if k in contact_kwargs: continue
ext = saml2.ExtensionElement(
k,
namespace=settings.SPID_PREFIXES['fpa'],
text=v
)
elements[k] = ext
# DatiAnagrafici
IdFiscaleIVA = saml2.ExtensionElement(
'IdFiscaleIVA',
namespace=settings.SPID_PREFIXES['fpa'],
)
Anagrafica = saml2.ExtensionElement(
'Anagrafica',
namespace=settings.SPID_PREFIXES['fpa'],
)
Anagrafica.children.append(elements['Denominazione'])
IdFiscaleIVA.children.append(elements['IdPaese'])
IdFiscaleIVA.children.append(elements['IdCodice'])
DatiAnagrafici = saml2.ExtensionElement(
'DatiAnagrafici',
namespace=settings.SPID_PREFIXES['fpa'],
)
if elements.get('CodiceFiscale'):
DatiAnagrafici.children.append(elements['CodiceFiscale'])
DatiAnagrafici.children.append(IdFiscaleIVA)
DatiAnagrafici.children.append(Anagrafica)
CessionarioCommittente = saml2.ExtensionElement(
'CessionarioCommittente',
namespace=settings.SPID_PREFIXES['fpa'],
)
CessionarioCommittente.children.append(DatiAnagrafici)
# Sede
Sede = saml2.ExtensionElement(
'Sede',
namespace=settings.SPID_PREFIXES['fpa'],
)
Sede.children.append(elements['Indirizzo'])
Sede.children.append(elements['NumeroCivico'])
Sede.children.append(elements['CAP'])
Sede.children.append(elements['Comune'])
Sede.children.append(elements['Provincia'])
Sede.children.append(elements['Nazione'])
CessionarioCommittente.children.append(Sede)
spid_extensions.children.append(CessionarioCommittente)
spid_contact.extensions = spid_extensions
metadata.contact_person.append(spid_contact)
cnt += 1
#
# fine avviso 29v3
###################
# metadata signature
secc = security_context(conf)
sign_dig_algs = dict(sign_alg = conf._sp_signing_algorithm,
digest_alg = conf._sp_digest_algorithm)
eid, xmldoc = sign_entity_descriptor(metadata, None, secc, **sign_dig_algs)
return xmldoc
def metadata_spid(request, config_loader_path=None, valid_for=None):
"""Returns an XML with the SAML 2.0 metadata for this
SP as configured in the settings.py file.
"""
conf = get_config(config_loader_path, request)
xmldoc = spid_sp_metadata(conf)
return HttpResponse(content=str(xmldoc).encode('utf-8'),
content_type="text/xml; charset=utf8")
class EchoAttributesView(LoginRequiredMixin, SPConfigMixin, View):
"""Example view that echo the SAML attributes of an user
"""
def get(self, request, *args, **kwargs):
state, client = self.get_state_client(request)
subject_id = _get_subject_id(request.saml_session)
try:
identity = client.users.get_identity(subject_id, check_not_on_or_after=False)
except AttributeError:
return HttpResponse("No active SAML identity found. Are you sure you have logged in via SAML?")
return render(request, 'spid_echo_attributes.html', {'attributes': identity[0]})
| [
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] | |
fb9fff047ea9f91c6306fde600390b8cc180df7f | ebd6f68d47e192da7f81c528312358cfe8052c8d | /swig/Examples/test-suite/python/cpp11_uniform_initialization_runme.py | ecb468ccbab5774868fae2adf8e1162f13d56457 | [
"LicenseRef-scancode-swig",
"GPL-3.0-or-later",
"LicenseRef-scancode-unknown-license-reference",
"GPL-3.0-only",
"Apache-2.0"
] | permissive | inishchith/DeepSpeech | 965ad34d69eb4d150ddf996d30d02a1b29c97d25 | dcb7c716bc794d7690d96ed40179ed1996968a41 | refs/heads/master | 2021-01-16T16:16:05.282278 | 2020-05-19T08:00:33 | 2020-05-19T08:00:33 | 243,180,319 | 1 | 0 | Apache-2.0 | 2020-02-26T05:54:51 | 2020-02-26T05:54:50 | null | UTF-8 | Python | false | false | 554 | py | import cpp11_uniform_initialization
var1 = cpp11_uniform_initialization.cvar.var1
if var1.x != 5:
raise RuntimeError
var2 = cpp11_uniform_initialization.cvar.var2
if var2.getX() != 2:
raise RuntimeError
m = cpp11_uniform_initialization.MoreInit()
if m.charptr != None:
raise RuntimeError, m.charptr
m.charptr = "hello sir"
if m.charptr != "hello sir":
raise RuntimeError, m.charptr
if m.more1(m.vi) != 15:
raise RuntimeError, m.vi
if m.more1([-1, 1, 2]) != 2:
raise RuntimeError, m.vi
if m.more1() != 10:
raise RuntimeError
| [
"[email protected]"
] | |
5aad7e0cb8a7d3330496ab6719606b80e1ce9362 | d963fb56dbb92cc7317c0a042c9059239ebaa028 | /problems/LC31.py | f1c1a4832845498896b69b66f880c332d2a9f312 | [] | no_license | ClaudioCarvalhoo/you-can-accomplish-anything-with-just-enough-determination-and-a-little-bit-of-luck | 20572bde5482ddef379506ce298c21dd5e002492 | df287ed92a911de49ed4bc7ca5a997d18a96c3f6 | refs/heads/master | 2023-06-02T16:27:57.994351 | 2021-06-24T23:16:47 | 2021-06-24T23:16:47 | 284,845,707 | 1 | 0 | null | 2020-10-29T21:35:30 | 2020-08-04T01:24:23 | Python | UTF-8 | Python | false | false | 958 | py | # O(n)
# n = len(nums)
class Solution:
def nextPermutation(self, nums: List[int]) -> None:
breakIndex = self.findFirstDescending(nums)
if breakIndex is None:
self.reverseSubList(nums, 0)
return
swapIndex = breakIndex + 1
for i in range(breakIndex + 2, len(nums)):
if nums[i] > nums[breakIndex] and nums[i] <= nums[swapIndex]:
swapIndex = i
self.swap(nums, breakIndex, swapIndex)
self.reverseSubList(nums, breakIndex + 1)
def findFirstDescending(self, nums):
for i in range(len(nums) - 2, -1, -1):
if nums[i] < nums[i + 1]:
return i
return None
def reverseSubList(self, nums, start):
i = start
j = len(nums) - 1
while i < j:
self.swap(nums, i, j)
i += 1
j -= 1
def swap(self, nums, i, j):
nums[i], nums[j] = nums[j], nums[i] | [
"[email protected]"
] | |
f901eff5d7fb9faf694cb612fd1d8cc57d32500f | 9dc423fe2c14e3949a171b81da9d02f87b1c2063 | /day06/02_SQLAlchmey.py | c51e800634f4b59002e9eb4fdc5cfc37bf0b76a7 | [] | no_license | 1751660300/Flask | a09ca944f21070cc04116d5fb929cacf386e56cd | 9fbf6955649f0c5e2e7acd98b29e28ebfdb99cd7 | refs/heads/master | 2022-11-09T13:10:45.462516 | 2020-06-28T02:47:19 | 2020-06-28T02:47:19 | 271,776,011 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,050 | py | # -*- coding:utf-8 -*-
"""
SQLAlchmey详细：https://www.cnblogs.com/wupeiqi/articles/8259356.html
1.SQLAlchmey 是python中一种orm框架
目标：将对类/对象的操作 -> sql语句（通过pymysql模块来执行sql语句） -> 对数据库的操作
"""
import time
import threading
import sqlalchemy
from sqlalchemy import create_engine
from sqlalchemy.engine.base import Engine
engine = create_engine(
"mysql+pymysql://root:[email protected]:3306/t1?charset=utf8",
max_overflow=0, # 超过连接池大小外最多创建的连接
pool_size=5, # 连接池大小
pool_timeout=30, # 池中没有线程最多等待的时间，否则报错
pool_recycle=-1 # 多久之后对线程池中的线程进行一次连接的回收（重置）
)
def task(arg):
conn = engine.raw_connection()
cursor = conn.cursor()
cursor.execute(
"select * from t1"
)
result = cursor.fetchall()
cursor.close()
conn.close()
for i in range(20):
t = threading.Thread(target=task, args=(i,))
t.start()
| [
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] | |
7397afa12e4a2262330657cc6cba2765d23f42be | 3135f67392febe5f85a743d1545d00bac40beb5a | /cn_stock_holidays/cn_stock_holidays/gateway/__init__.py | 657b3d4964a852cdccfb0de7f59f08ca7fa443ff | [] | no_license | xiyongjian/gateway | b8ebda77fed3995f75c63c5f61dc520bfe9c7897 | 59d3c410ce3005c616b354f0d1ad64cf77798573 | refs/heads/master | 2022-10-22T21:01:02.063293 | 2018-07-08T04:48:49 | 2018-07-08T04:48:49 | 120,036,602 | 2 | 2 | null | 2022-10-01T12:06:20 | 2018-02-02T22:08:03 | Python | UTF-8 | Python | false | false | 231 | py | from cn_stock_holidays.gateway.exchange_calendar_hkex import HKExchangeCalendar
from cn_stock_holidays.gateway.exchange_calendar_shsz import SHSZExchangeCalendar
__all__ = [
'HKExchangeCalendar',
'SHSZExchangeCalendar',
] | [
"[email protected]"
] | |
d30bc0c7e55dda9955dd8a25d1ead5b969592d85 | 90e02be4ea2461e4e4a0fd504ce516aadf427c69 | /old/polysem.py | 426ea7e7fdecb878ccd048fd5354c90808906cb3 | [] | no_license | thoppe/polysemous-emoji | df5150fce38663389926aff4991c85d3bc442963 | 50b2107b50a3d8ab9719d2736c8925cc68a75180 | refs/heads/master | 2021-01-10T02:34:17.728953 | 2017-06-05T20:59:27 | 2017-06-05T20:59:27 | 51,712,669 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 964 | py | from ksvd import KSVD
import h5py, os
from gensim.models.word2vec import Word2Vec
# Load the config files
from configobj import ConfigObj
wcon = ConfigObj("config.ini")["word2vec"]
kcon = ConfigObj("config.ini")["kSVD"]
from gensim.models.word2vec import Word2Vec
f_features = wcon["f_features"].format(**wcon)
clf = Word2Vec.load(f_features)
X = clf.syn0
print clf
print X.shape
result = KSVD(X,
dict_size=kcon.as_int("basis_size"),
target_sparsity=kcon.as_int("sparsity"),
max_iterations=kcon.as_int("iterations"),
enable_printing=True,
enable_threading = True,
print_interval=1)
D,gamma = result
f_model = kcon["f_kSVD"].format(**kcon)
h5 = h5py.File(f_model,'w')
h5.create_dataset("D",data=D, compression="gzip")
h5.create_dataset("gamma",data=gamma, compression="gzip")
# Save the arguments (maybe later?)
#for key in args:
# g.attrs[key] = cargs[key]
h5.close()
| [
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] | |
8d4856c6c849a5bc71aa203dc7a9dd6ec06bbf27 | 53fab060fa262e5d5026e0807d93c75fb81e67b9 | /backup/user_042/ch44_2020_10_07_13_08_47_151008.py | 10a4ee19987b7143968c5c8eef6249ca9ea6b94d | [] | 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 | 263 | py | nome_mes = input('Qual o nome do mes?')
nome_meses = ['janeiro', 'fevereiro', 'março', 'abril', 'maio', 'junho', 'julho', 'agosto', 'setembro', 'outubro', 'novembro', 'dezembro']
i=0
while i < 12:
if nome_meses[i] == nome_mes :
print (i+1)
i += 1 | [
"[email protected]"
] | |
0c25dd68f7abaaf858f4ffb5e3109947576dcbbe | 2e3d63726c1d05b73b9cc22e5bcbead30246a8dc | /Facepad/wsgi.py | ac7aeeae354627af07c474d0569514805a849d2c | [] | no_license | rolycg/tiny_social_network | 041f6e4ab503bb82eca4cf1efb436d3b5250343a | e7ec45d053d291d53bd9d58bbb882b4b3edb6355 | refs/heads/master | 2021-01-10T04:27:16.344700 | 2016-03-23T18:19:49 | 2016-03-23T18:19:49 | 54,581,800 | 2 | 0 | null | null | null | null | UTF-8 | Python | false | false | 391 | py | """
WSGI config for Facepad project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.9/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "Facepad.settings")
application = get_wsgi_application()
| [
"[email protected]"
] | |
689b90a020d0df47a96c87657ee3a6532ccac798 | e7e5cc4353671d4cb410acf12fb3de92e8f4ac58 | /machine-learning/tensorflow_test_SNH/SNH_run.py | b17e76f1094e00d56c971d60e846ec7c2695910c | [] | no_license | zooniverse/hco-experiments | f10d128f4258e830098564477c66bfa2a13dc5d7 | fb9f4e476f2402fd0d66fb770f6d1b5c433dafbf | refs/heads/master | 2021-04-30T16:40:11.182769 | 2017-07-12T17:22:34 | 2017-07-12T17:22:34 | 80,105,222 | 4 | 2 | null | 2021-01-08T09:56:44 | 2017-01-26T10:27:23 | Python | UTF-8 | Python | false | false | 4,846 | py | # Train a simple CNN using Keras
import keras
from keras.datasets import cifar10
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Conv2D, MaxPooling2D
from keras.preprocessing.image import ImageDataGenerator, array_to_img
from keras.preprocessing.image import img_to_array, load_img
import numpy as np
import os
# Parameters
batch_size = 32
num_classes = 2
epochs = 15
data_augmentation = False
path_snh = "D:/Studium_GD/Zooniverse/Data/SNHuntersInception/images/"
# function to import one image
def import_one_image(path):
# this is a PIL image
img = load_img(path)
# this is a Numpy array with shape (3, x, y)
x = img_to_array(img)
# this is a Numpy array with shape (1, 3, x, y)
x = x.reshape((1,) + x.shape)
return x
# read all images from disk
real_files = []
for f in os.listdir(path_snh + 'real'):
# get path
real_files.append(f)
# get image
x = import_one_image(path_snh + 'real/' + f)
try:
x_real = np.vstack((x_real,x))
except:
x_real = x
# generate labels
y_real = [1 for i in range(0,len(real_files))]
bogus_files = []
for f in os.listdir(path_snh + 'bogus'):
# get path
bogus_files.append(f)
# get image
x = import_one_image(path_snh + 'bogus/' + f)
try:
x_bogus = np.vstack((x_bogus,x))
except:
x_bogus = x
# generate labels
y_bogus = [0 for i in range(0,len(bogus_files))]
# generate one big data set
x_data = np.vstack((x_real,x_bogus))
y_data = np.concatenate((y_real,y_bogus))
# generate train and test split using sklearn
from sklearn.model_selection import train_test_split
x_train, x_test, y_train, y_test = train_test_split(x_data, y_data,
test_size=0.33,
random_state=42)
print('x_train shape:', x_train.shape)
print(x_train.shape[0], 'train samples')
print(x_test.shape[0], 'test samples')
# Convert class vectors to binary class matrices.
y_train = keras.utils.to_categorical(y_train, num_classes)
y_test = keras.utils.to_categorical(y_test, num_classes)
model = Sequential()
model.add(Conv2D(32, (3, 3), padding='same',
input_shape=x_train.shape[1:]))
model.add(Activation('relu'))
model.add(Conv2D(32, (3, 3)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Dropout(0.25))
model.add(Conv2D(64, (3, 3), padding='same'))
model.add(Activation('relu'))
model.add(Conv2D(64, (3, 3)))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Dropout(0.25))
model.add(Flatten())
model.add(Dense(512))
model.add(Activation('relu'))
model.add(Dropout(0.5))
model.add(Dense(num_classes))
model.add(Activation('softmax'))
# initiate RMSprop optimizer
opt = keras.optimizers.rmsprop(lr=0.0001, decay=1e-6)
# Let's train the model using RMSprop
model.compile(loss='categorical_crossentropy',
optimizer=opt,
metrics=['accuracy'])
x_train = x_train.astype('float32')
x_test = x_test.astype('float32')
x_train /= 255
x_test /= 255
if not data_augmentation:
print('Not using data augmentation.')
model.fit(x_train, y_train,
batch_size=batch_size,
epochs=epochs,
validation_data=(x_test, y_test),
shuffle=True)
else:
print('Using real-time data augmentation.')
# This will do preprocessing and realtime data augmentation:
datagen = ImageDataGenerator(
featurewise_center=False, # set input mean to 0 over the dataset
samplewise_center=False, # set each sample mean to 0
featurewise_std_normalization=False, # divide inputs by std of the dataset
samplewise_std_normalization=False, # divide each input by its std
zca_whitening=False, # apply ZCA whitening
rotation_range=0, # randomly rotate images in the range (degrees, 0 to 180)
width_shift_range=0.1, # randomly shift images horizontally (fraction of total width)
height_shift_range=0.1, # randomly shift images vertically (fraction of total height)
horizontal_flip=True, # randomly flip images
vertical_flip=False) # randomly flip images
# Compute quantities required for feature-wise normalization
# (std, mean, and principal components if ZCA whitening is applied).
datagen.fit(x_train)
# Fit the model on the batches generated by datagen.flow().
model.fit_generator(datagen.flow(x_train, y_train,
batch_size=batch_size),
steps_per_epoch=x_train.shape[0] // batch_size,
epochs=epochs,
validation_data=(x_test, y_test)) | [
"[email protected]"
] | |
147a83153243b6c3af4bed4247b1099ee9793600 | 29789d90224f4c08c5413dacb546572a44d95071 | /cases/hangar/richards_wing.py | 3f0a3b2324dbf005a9a655e6feaed338bde0da23 | [
"BSD-3-Clause"
] | permissive | Bo-Zhang1995/sharpy | 3388ef5937950a2a95f23086e0a1d1eac56b26c6 | fcc768cba988b2a2999c6ebe362ab59b84f3695c | refs/heads/master | 2020-09-13T03:36:05.537835 | 2019-11-17T17:36:04 | 2019-11-17T17:36:04 | 222,645,290 | 1 | 0 | BSD-3-Clause | 2019-11-19T08:23:50 | 2019-11-19T08:23:49 | null | UTF-8 | Python | false | false | 13,582 | py | """
Simple Horten Wing as used by Richards. Baseline and simplified models
"""
import numpy as np
from cases.hangar.horten_wing import HortenWing
import sharpy.utils.algebra as algebra
class Baseline(HortenWing):
def set_properties(self):
# Wing geometry
self.span = 20.0 # [m]
self.sweep_LE = 20 * np.pi / 180 # [rad] Leading Edge Sweep
self.c_root = 1.0 # [m] Root chord - Richards
self.taper_ratio = 0.25 # Richards
self.thrust_nodes = [self.n_node_fuselage - 1,
self.n_node_fuselage + self.n_node_wing + 1]
self.loc_cg = 0.45 # CG position wrt to LE (from sectional analysis)
# EA is the reference in NATASHA - defined with respect to the midchord. SHARPy is wrt to LE and as a pct of
# local chord
self.main_ea_root = 0.33
self.main_ea_tip = 0.33
self.n_mass = 2 * self.n_elem_wing
# FUSELAGE GEOMETRY
self.fuselage_width = 1.65/2
self.c_fuselage = self.c_root
# WASH OUT
self.washout_root = 0*np.pi/180
self.washout_tip = -2 * np.pi / 180
# Horseshoe wake
self.horseshoe = False
self.wake_type = 2
self.dt_factor = 1
self.dt = 1 / self.M / self.u_inf * self.dt_factor
# Dynamics
self.n_tstep = int(self.physical_time/self.dt)
self.gust_intensity = 0.1
# Numerics
self.tolerance = 1e-12
self.fsi_tolerance = 1e-10
self.relaxation_factor = 0.2
def update_mass_stiffness(self, sigma=1., sigma_mass=1.):
"""
Set's the mass and stiffness properties of the default wing
Returns:
"""
n_elem_fuselage = self.n_elem_fuselage
n_elem_wing = self.n_elem_wing
n_node_wing = self.n_node_wing
n_node_fuselage = self.n_node_fuselage
c_root = self.c_root
taper_ratio = self.taper_ratio
# Local chord to root chord initialisation
c_bar_temp = np.linspace(c_root, taper_ratio * c_root, n_elem_wing)
# Structural properties at the wing root section from Richards 2016
ea = 1e6
ga = 1e6
gj = 4.24e5
eiy = 3.84e5
eiz = 2.46e7
root_i_beam = IBeam()
root_i_beam.build(c_root)
root_i_beam.rotation_axes = np.array([0, self.main_ea_root-0.25, 0])
root_airfoil = Airfoil()
root_airfoil.build(c_root)
root_i_beam.rotation_axes = np.array([0, self.main_ea_root-0.25, 0])
mu_0 = root_i_beam.mass + root_airfoil.mass
j_xx = root_i_beam.ixx + root_airfoil.ixx
j_yy = root_i_beam.iyy + root_airfoil.iyy
j_zz = root_i_beam.izz + root_airfoil.izz
# Number of stiffnesses used
n_stiffness = self.n_stiffness
# Initialise the stiffness database
base_stiffness = self.base_stiffness
stiffness_root = sigma * np.diag([ea, ga, ga, gj, eiy, eiz])
stiffness_tip = taper_ratio ** 2 * stiffness_root
# Assume a linear variation in the stiffness. Richards et al. use VABS on the linearly tapered wing to find the
# spanwise properties
alpha = np.linspace(0, 1, self.n_elem_wing)
for i_elem in range(0, self.n_elem_wing):
base_stiffness[i_elem + 1, :, :] = stiffness_root*(1-alpha[i_elem]**2) + stiffness_tip*alpha[i_elem]**2
base_stiffness[0] = base_stiffness[1]
# Mass variation along the span
# Right wing centre of mass - wrt to 0.25c
cm = (root_airfoil.centre_mass * root_airfoil.mass + root_i_beam.centre_mass * root_i_beam.mass) \
/ np.sum(root_airfoil.mass + root_i_beam.mass)
cg = np.array([0, -(cm[0] + 0.25 * self.c_root - self.main_ea_root), 0]) * 1
n_mass = self.n_mass
# sigma_mass = 1.25
# Initialise database
base_mass = self.base_mass
mass_root_right = np.diag([mu_0, mu_0, mu_0, j_xx, j_yy, j_zz]) * sigma_mass
mass_root_right[:3, -3:] = -algebra.skew(cg) * mu_0
mass_root_right[-3:, :3] = algebra.skew(cg) * mu_0
mass_root_left = np.diag([mu_0, mu_0, mu_0, j_xx, j_yy, j_zz]) * sigma_mass
mass_root_left[:3, -3:] = -algebra.skew(-cg) * mu_0
mass_root_left[-3:, :3] = algebra.skew(-cg) * mu_0
mass_tip_right = taper_ratio * mass_root_right
mass_tip_left = taper_ratio * mass_root_left
ixx_dummy = []
iyy_dummy = []
izz_dummy = []
import matplotlib.pyplot as plt
for i_elem in range(self.n_elem_wing):
# Create full cross section
c_bar = self.c_root * ((1-alpha[i_elem]) + self.taper_ratio * alpha[i_elem])
x_section = WingCrossSection(c_bar)
print(i_elem)
print('Section Mass: %.2f ' %x_section.mass)
print('Linear Mass: %.2f' % (mu_0 * (1-alpha[i_elem]) + mu_0 * self.taper_ratio * alpha[i_elem]))
print('Section Ixx: %.4f' % x_section.ixx)
print('Section Iyy: %.4f' % x_section.iyy)
print('Section Izz: %.4f' % x_section.izz)
print('Linear Ixx: %.2f' % (j_xx * (1-alpha[i_elem]) + j_xx * self.taper_ratio * alpha[i_elem]))
# base_mass[i_elem, :, :] = mass_root_right*(1-alpha[i_elem]) + mass_tip_right*alpha[i_elem]
# base_mass[i_elem + self.n_elem_wing + self.n_elem_fuselage - 1] = mass_root_left*(1-alpha[i_elem]) + mass_tip_left*alpha[i_elem]
base_mass[i_elem, :, :] = np.diag([x_section.mass, x_section.mass, x_section.mass,
x_section.ixx, x_section.iyy, x_section.izz])
cg = np.array([0, -(x_section.centre_mass[0] + (0.25 - self.main_ea_root) * c_bar / self.c_root), 0]) * 1
base_mass[i_elem, :3, -3:] = -algebra.skew(cg) * x_section.mass
base_mass[i_elem, -3:, :3] = algebra.skew(cg) * x_section.mass
base_mass[i_elem + self.n_elem_wing + self.n_elem_fuselage - 1, :, :] = np.diag([x_section.mass, x_section.mass, x_section.mass,
x_section.ixx, x_section.iyy, x_section.izz])
cg = np.array([0, -(x_section.centre_mass[0] + (0.25 - self.main_ea_root) * c_bar / self.c_root), 0]) * 1
base_mass[i_elem + self.n_elem_wing + self.n_elem_fuselage - 1, :3, -3:] = -algebra.skew(-cg) * x_section.mass
base_mass[i_elem + self.n_elem_wing + self.n_elem_fuselage - 1, -3:, :3] = algebra.skew(-cg) * x_section.mass
ixx_dummy.append(x_section.ixx)
iyy_dummy.append(x_section.iyy)
izz_dummy.append(x_section.izz)
# for item in x_section.items:
# plt.plot(item.y, item.z)
# plt.scatter(x_section.centre_mass[0], x_section.centre_mass[1])
# plt.show()
# print(x_section.centre_mass)
# print(cg)
# plt.plot(range(self.n_elem_wing), ixx_dummy)
# plt.plot(range(self.n_elem_wing), iyy_dummy)
# plt.plot(range(self.n_elem_wing), izz_dummy)
# plt.show()
# Lumped mass initialisation
lumped_mass_nodes = self.lumped_mass_nodes
lumped_mass = self.lumped_mass
lumped_mass_inertia = self.lumped_mass_inertia
lumped_mass_position = self.lumped_mass_position
# Lumped masses nodal position
# 0 - Right engine
# 1 - Left engine
# 2 - Fuselage
lumped_mass_nodes[0] = 2
lumped_mass_nodes[1] = n_node_fuselage + n_node_wing + 1
lumped_mass_nodes[2] = 0
# Lumped mass value from Richards 2013
lumped_mass[0:2] = 51.445 / 9.81
lumped_mass[2] = 150 / 9.81
# lumped_mass_position[2] = [0, 0, -10.]
# Lumped mass inertia
lumped_mass_inertia[0, :, :] = np.diag([0.29547, 0.29322, 0.29547])
lumped_mass_inertia[1, :, :] = np.diag([0.29547, 0.29322, 0.29547])
lumped_mass_inertia[2, :, :] = np.diag([0.5, 1, 1]) * lumped_mass[2]
# Define class attributes
self.lumped_mass = lumped_mass * 1
self.lumped_mass_nodes = lumped_mass_nodes * 1
self.lumped_mass_inertia = lumped_mass_inertia * 1
self.lumped_mass_position = lumped_mass_position * 1
self.base_stiffness = base_stiffness
self.base_mass = base_mass
class CrossSection(object):
def __init__(self):
self.rho = 2770
self.rotation_axes = np.array([0, 0.33-0.25, 0])
self.y = np.ndarray((2,))
self.z = np.ndarray((2,))
self.t = np.ndarray((2,))
@property
def mass(self):
"""
Mass of the I beam per unit length
"""
return np.sum(self.t * self.elem_length) * self.rho
@property
def ixx(self):
ixx_ = np.sum(self.elem_length * self.t * self.rho * (self.elem_cm_y ** 2 + self.elem_cm_z ** 2))
return ixx_ + self.mass * (self.centre_mass[0] - self.rotation_axes[1]) ** 2
@property
def elem_length(self):
elem_length = np.sqrt(np.diff(self.y) ** 2 + np.diff(self.z) ** 2)
return elem_length
@property
def elem_cm_y(self):
elem_cm_y_ = np.ndarray((self.n_elem, ))
elem_cm_y_[:] = 0.5 * (self.y[:-1] + self.y[1:])
return elem_cm_y_
@property
def elem_cm_z(self):
elem_cm_z_ = np.ndarray((self.n_elem, ))
elem_cm_z_[:] = 0.5 * (self.z[:-1] + self.z[1:])
return elem_cm_z_
@property
def centre_mass(self):
y_cm = np.sum(self.elem_cm_y * self.elem_length) / np.sum(self.elem_length)
z_cm = np.sum(self.elem_cm_z * self.elem_length) / np.sum(self.elem_length)
return np.array([y_cm, z_cm])
@property
def iyy(self):
x_dom = np.linspace(-0.5, 0.5, 100)
x_cg = 0.5 * (x_dom[:-1].copy() + x_dom[1:].copy())
dx = np.diff(x_dom)[0]
iyy_ = 0
for elem in range(len(self.elem_length)):
z_cg = np.ones_like(x_cg) * self.elem_cm_z[elem]
iyy_ += np.sum(self.elem_length[elem] * self.t[elem] * dx * self.rho * (x_cg ** 2 + z_cg ** 2))
return iyy_ #np.sum(self.elem_length * self.t * self.rho * 1 * self.elem_cm_z ** 2)
@property
def izz(self):
x_dom = np.linspace(-0.5, 0.5, 100)
x_cg = 0.5 * (x_dom[:-1].copy() + x_dom[1:].copy())
dx = np.diff(x_dom)[0]
iyy_ = 0
izz_ = 0
for elem in range(len(self.elem_length)):
y_cg = np.ones_like(x_cg) * self.elem_cm_y[elem]
izz_ += np.sum(self.elem_length[elem] * self.t[elem] * dx * self.rho * (x_cg ** 2 + y_cg ** 2))
return izz_ #np.sum(self.elem_length * self.t * self.rho * 1 * self.elem_cm_y ** 2)
@property
def n_node(self):
return self.y.shape[0]
@property
def n_elem(self):
return self.n_node - 1
def build(self, y, z, t):
self.y = y
self.z = z
self.t = t
class IBeam(CrossSection):
def build(self, c_root):
t_skin = 0.127e-2
t_c = 0.12
w_I = 10e-2 * c_root # Width of the Ibeam
self.rho = 2770
self.y = np.ndarray((self.n_node, ))
self.z = np.ndarray((self.n_node, ))
self.t = np.ndarray((self.n_node, ))
z_max = t_c * c_root
y = np.array([-w_I/2, w_I/2, 0, 0, -w_I/2, w_I/2])
z = np.array([z_max/2, z_max/2, z_max/2, -z_max/2, -z_max/2, -z_max/2])
t = np.array([t_skin, 0, t_skin, 0, t_skin])
self.y = y
self.z = z
self.t = t
class Airfoil(CrossSection):
def build(self, c_root):
t_c = 0.12
t_skin = 0.127e-2 * 1.5
y_dom = np.linspace(0, c_root, 100)
y = np.concatenate((y_dom, y_dom[:-1][::-1]))
z_dom = 5 * t_c * (0.2969 * np.sqrt(y_dom/c_root) -
0.1260 * y_dom/c_root -
0.3516 * (y_dom/c_root) ** 2 +
0.2843 * (y_dom/c_root) ** 3 -
0.1015 * (y_dom/c_root) ** 4) * c_root
z = np.concatenate((z_dom, -z_dom[:-1][::-1]))
self.y = y - 0.25 * c_root
self.z = z
self.t = t_skin * np.ones(self.n_elem)
class WingCrossSection:
def __init__(self, chord):
self.chord = chord
self.items = list()
self.items.append(Airfoil())
self.items.append(IBeam())
for item in self.items:
item.build(chord)
@property
def mass(self):
return np.sum([item.mass for item in self.items])
@property
def centre_mass(self):
y = np.sum([item.mass * item.centre_mass[0] for item in self.items]) / self.mass
z = np.sum([item.mass * item.centre_mass[1] for item in self.items]) / self.mass
return np.array([y, z])
@property
def ixx(self):
return np.sum([item.ixx for item in self.items])
@property
def iyy(self):
return np.sum([item.iyy for item in self.items])
@property
def izz(self):
return np.sum([item.izz for item in self.items])
if __name__ == '__main__':
ws = Baseline(M=4,
N=11,
Mstarfactor=5,
u_inf=28,
rho=1.225,
alpha_deg=4)
# ws.clean_test_files()
ws.update_mass_stiffness()
ws.update_fem_prop()
# ws.generate_fem_file()
ws.update_aero_properties()
# ws.generate_aero_file()
# ws.set_default_config_dict() | [
"[email protected]"
] | |
67d5a8da55c644e91aa539b2449116477ff95e23 | ba41dbc2183bd91e6e9a8669904b85f342775530 | /mgmt/dump-function-calls.py | d5620c7a17ded957d08beb4af09694250bb26f38 | [
"LicenseRef-scancode-warranty-disclaimer"
] | no_license | fish2000/libimread | 5d835f98083a897e1d0d9fde4f816cea4496e35f | 781e2484559136de5171d577d54afa624ca4c8b4 | refs/heads/master | 2022-04-28T18:14:27.189975 | 2022-03-20T23:57:15 | 2022-03-20T23:57:15 | 30,621,253 | 7 | 1 | null | null | null | null | UTF-8 | Python | false | false | 1,434 | py | #!/usr/bin/env python
# dump_function_calls.py:
# Originally from: https://github.com/smspillaz/scripts/blob/master/list_non_inlined_symbols/dump_function_calls.py
#
# Copyright (c) 2014 Sam Spilsbury <[email protected]>
# Licenced under the MIT Licence.
#
# Looks at the DWARF data for a library and dumps to stdout where
# functions are called
#
# Usage: dump_function_calls.py object [regex]
import re
import sys
import subprocess
def get_function_calls (objdump_output, regex):
function_calls = []
for line in objdump_output.split ("\n"):
if "callq" in line and "<" in line and ">" in line:
if regex is None or (regex is not None and regex.match (line) != None):
mangled = line.split ("<")[1]
if "@" in mangled:
mangled = mangled.split("@")[0]
elif "." in mangled:
mangled = mangled.split(".")[0]
call = subprocess.check_output (["c++filt", mangled])[:-1]
function_calls.append (call)
return set (function_calls)
if (len (sys.argv) < 2):
print "Usage: dump_function_calls.py object [regex]"
object = sys.argv[1];
regex = None
if (len (sys.argv) == 3):
regex = re.compile (sys.argv[2])
objdump_output = subprocess.check_output (["gobjdump", "-S", object])
function_calls = get_function_calls (objdump_output, regex)
for call in function_calls:
print call | [
"[email protected]"
] | |
9a8d1f2c92d9086aa11eccf289f7c95d6b8f29d0 | b37d4c6ae5fa90c5afc6346088c272d3b7c8a37c | /backend/course/api/v1/viewsets.py | dafe5676cfef6a5d35ce42d0bb66ce7f52f6daf6 | [] | no_license | crowdbotics-apps/staeci-27357 | 3f18579fe25b97c64db661205c7398a8f27905e7 | e63469a44549e38d3d01046fbf75c394ef4ec435 | refs/heads/master | 2023-04-28T20:35:58.657031 | 2021-05-24T22:53:33 | 2021-05-24T22:53:33 | 370,503,833 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,400 | py | from rest_framework import authentication
from course.models import (
Recording,
Event,
Subscription,
Course,
Group,
Module,
PaymentMethod,
SubscriptionType,
Enrollment,
Lesson,
Category,
)
from .serializers import (
RecordingSerializer,
EventSerializer,
SubscriptionSerializer,
CourseSerializer,
GroupSerializer,
ModuleSerializer,
PaymentMethodSerializer,
SubscriptionTypeSerializer,
EnrollmentSerializer,
LessonSerializer,
CategorySerializer,
)
from rest_framework import viewsets
class CourseViewSet(viewsets.ModelViewSet):
serializer_class = CourseSerializer
authentication_classes = (
authentication.SessionAuthentication,
authentication.TokenAuthentication,
)
queryset = Course.objects.all()
class EventViewSet(viewsets.ModelViewSet):
serializer_class = EventSerializer
authentication_classes = (
authentication.SessionAuthentication,
authentication.TokenAuthentication,
)
queryset = Event.objects.all()
class GroupViewSet(viewsets.ModelViewSet):
serializer_class = GroupSerializer
authentication_classes = (
authentication.SessionAuthentication,
authentication.TokenAuthentication,
)
queryset = Group.objects.all()
class LessonViewSet(viewsets.ModelViewSet):
serializer_class = LessonSerializer
authentication_classes = (
authentication.SessionAuthentication,
authentication.TokenAuthentication,
)
queryset = Lesson.objects.all()
class SubscriptionViewSet(viewsets.ModelViewSet):
serializer_class = SubscriptionSerializer
authentication_classes = (
authentication.SessionAuthentication,
authentication.TokenAuthentication,
)
queryset = Subscription.objects.all()
class RecordingViewSet(viewsets.ModelViewSet):
serializer_class = RecordingSerializer
authentication_classes = (
authentication.SessionAuthentication,
authentication.TokenAuthentication,
)
queryset = Recording.objects.all()
class PaymentMethodViewSet(viewsets.ModelViewSet):
serializer_class = PaymentMethodSerializer
authentication_classes = (
authentication.SessionAuthentication,
authentication.TokenAuthentication,
)
queryset = PaymentMethod.objects.all()
class EnrollmentViewSet(viewsets.ModelViewSet):
serializer_class = EnrollmentSerializer
authentication_classes = (
authentication.SessionAuthentication,
authentication.TokenAuthentication,
)
queryset = Enrollment.objects.all()
class SubscriptionTypeViewSet(viewsets.ModelViewSet):
serializer_class = SubscriptionTypeSerializer
authentication_classes = (
authentication.SessionAuthentication,
authentication.TokenAuthentication,
)
queryset = SubscriptionType.objects.all()
class ModuleViewSet(viewsets.ModelViewSet):
serializer_class = ModuleSerializer
authentication_classes = (
authentication.SessionAuthentication,
authentication.TokenAuthentication,
)
queryset = Module.objects.all()
class CategoryViewSet(viewsets.ModelViewSet):
serializer_class = CategorySerializer
authentication_classes = (
authentication.SessionAuthentication,
authentication.TokenAuthentication,
)
queryset = Category.objects.all()
| [
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] | |
d07149fc3d7c5b9da5eb276482171723605c7fab | 0eb1d32c5e2770ad6d6e8f09061e9d5a09f3c37d | /Order/migrations/0005_auto_20210211_0723.py | e8f4fb7d13903a1b3498f229ffb1fffe4aa16799 | [] | no_license | HadiGhazali/digikala | da4e993a590d17801b4bf3ce3be37f62e0fce5d8 | 4ccbf199b5c848e0e7550eb8ebaaeaa0bc096cd2 | refs/heads/main | 2023-03-12T13:00:22.000792 | 2021-03-04T14:38:25 | 2021-03-04T14:38:25 | 322,250,951 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 384 | py | # Generated by Django 3.1.4 on 2021-02-11 07:23
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('Order', '0004_auto_20210209_1157'),
]
operations = [
migrations.AlterModelOptions(
name='payment',
options={'verbose_name': 'Payment', 'verbose_name_plural': 'Payments'},
),
]
| [
"[email protected]"
] | |
cae3368e7e8e0c5c1919e14f58e1fb7b2e2170bf | d61a6df81bca12df0b743053643bc386d15a4b56 | /Exercise05/5-47.py | 2a7a135a3f62d27047e4a304ce8bbba0597e3f54 | [
"Apache-2.0"
] | permissive | ywyz/IntroducingToProgrammingUsingPython | 9108bea2a79f8d24693144dc127aa6b32896121f | 614d59eacb7e37aece871a00f7d1518f7de88708 | refs/heads/master | 2020-04-20T06:29:02.999774 | 2019-12-22T12:52:46 | 2019-12-22T12:52:46 | 168,685,428 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 613 | py | '''
@Date: 2019-11-09 20:43:16
@Author: ywyz
@LastModifiedBy: ywyz
@Github: https://github.com/ywyz
@LastEditors: ywyz
@LastEditTime: 2019-11-09 20:52:15
'''
import turtle
import random
turtle.penup()
turtle.goto(-60, 50)
turtle.pendown()
turtle.forward(120)
turtle.right(90)
turtle.forward(100)
turtle.right(90)
turtle.forward(120)
turtle.right(90)
turtle.forward(100)
for n in range(10):
x = random.randrange(-60, 60)
y = random.randrange(-50, 50)
turtle.penup()
turtle.goto(x, y)
turtle.pendown()
turtle.color("red")
turtle.begin_fill()
turtle.circle(5)
turtle.end_fill() | [
"[email protected]"
] | |
9626d1af7e4791e3842aaade47f2f09341e089c1 | 5c8139f1e57e06c7eaf603bd8fe74d9f22620513 | /PartA/np_random_permutation.py | 06fb8394f942ddc765d854ae411e48f230a80e94 | [] | no_license | madeibao/PythonAlgorithm | c8a11d298617d1abb12a72461665583c6a44f9d2 | b4c8a75e724a674812b8a38c0202485776445d89 | refs/heads/master | 2023-04-03T07:18:49.842063 | 2021-04-11T12:02:40 | 2021-04-11T12:02:40 | 325,269,130 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 95 | py |
import numpy as np
print(np.random.permutation(10))
# 结果为：[4 1 0 2 8 5 9 6 3 7]
| [
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] | |
ddbd6da647684177e27247cfbc0320dccf56315f | 551dabfe10ea6778546f380d3ee9f0500f352b0f | /1.6 Data Split/1.6.2.1.py | 755230539a32648d535e948fddd664f504a670e2 | [] | no_license | mohamedalemam/sklearn | c32843b6a04fe4b2a326870ba3658e8c1fc3b424 | 387c21357b165a1bc3593f8303ac5f9a672bd62a | refs/heads/main | 2022-12-29T15:38:06.534505 | 2020-10-17T21:26:59 | 2020-10-17T21:26:59 | 301,839,374 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 747 | py | #Import Libraries
from sklearn.model_selection import KFold
#----------------------------------------------------
#KFold Splitting data
kf = KFold(n_splits=4, random_state=44, shuffle =True)
#KFold Data
for train_index, test_index in kf.split(X):
print('Train Data is : \n', train_index)
print('Test Data is : \n', test_index)
print('-------------------------------')
X_train, X_test = X[train_index], X[test_index]
y_train, y_test = y[train_index], y[test_index]
print('X_train Shape is ' , X_train.shape)
print('X_test Shape is ' , X_test.shape)
print('y_train Shape is ' ,y_train.shape)
print('y_test Shape is ' , y_test.shape)
print('========================================') | [
"[email protected]"
] | |
1bb76202345c93a96430e6d954e9f8e763c960ab | 3b00f143f858c495df46cf88a27a18bee388c6b6 | /Dynamic Programming/edit_distance.py | 6e0ae8490c463511868684b515372c7cfc18406a | [] | no_license | deepcpatel/data_structures_and_algorithms | 5a4d70e9d74e933a16b132d6701a0dc6b19d9203 | 2c7849f1e31c5c60924eb70830e524b44306d652 | refs/heads/master | 2023-01-01T04:47:19.704199 | 2020-10-27T17:35:48 | 2020-10-27T17:35:48 | 307,295,841 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 995 | py | # Link: https://leetcode.com/problems/edit-distance/
# Not my Solution
'''
Explanation:
Define dp(i, j) as the minimum number of operations required to convert word1[i:] to word2[j:].
Then we'll get the recursion below:
dp(i, j) = dp(i + 1, j + 1) if word1[i] == word2[j]
dp(i, j) = 1 + min(dp(i + 1, j + 1), dp(i, j + 1), dp(i + 1, j)) otherwise
'''
from functools import lru_cache
class Solution:
def minDistance(self, word1: str, word2: str) -> int:
@lru_cache(None)
def dp(i, j):
if i >= m:
return n - j # insert the rest of word2[j:]
elif j >= n:
return m - i # delete the rest of word1[i:]
if word1[i] == word2[j]:
return dp(i + 1, j + 1)
# replace, insert, delete, respectively
return 1 + min(dp(i + 1, j + 1), dp(i, j + 1), dp(i + 1, j))
m, n = map(len, (word1, word2))
word1, word2 = map(list, (word1, word2))
return dp(0, 0) | [
"[email protected]"
] | |
7215342ad719cd58db15232b77161fed026d9444 | aa1972e6978d5f983c48578bdf3b51e311cb4396 | /mas_nitro-python-1.0/massrc/com/citrix/mas/nitro/resource/config/services/perf/perf_lb_ssl_traffic_report.py | fc21491573e23b5e55686c38164097e8f4b9c5f0 | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | permissive | MayankTahil/nitro-ide | 3d7ddfd13ff6510d6709bdeaef37c187b9f22f38 | 50054929214a35a7bb19ed10c4905fffa37c3451 | refs/heads/master | 2020-12-03T02:27:03.672953 | 2017-07-05T18:09:09 | 2017-07-05T18:09:09 | 95,933,896 | 2 | 5 | null | 2017-07-05T16:51:29 | 2017-07-01T01:03:20 | HTML | UTF-8 | Python | false | false | 10,097 | py | '''
Copyright (c) 2008-2015 Citrix Systems, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.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 massrc.com.citrix.mas.nitro.resource.Base import *
from massrc.com.citrix.mas.nitro.service.options import options
from massrc.com.citrix.mas.nitro.exception.nitro_exception import nitro_exception
from massrc.com.citrix.mas.nitro.util.filtervalue import filtervalue
from massrc.com.citrix.mas.nitro.resource.Base.base_resource import base_resource
from massrc.com.citrix.mas.nitro.resource.Base.base_response import base_response
'''
Configuration for LBVServer resource
'''
class perf_lb_ssl_traffic_report(base_resource):
_sslctxsessionnewrate= ""
_vsvrName= ""
_sslctxdecbytesrate= ""
_timestamp= ""
_sslctxsessionhitsrate= ""
_sslctxencbytesrate= ""
_device_ip_address= ""
__count=""
'''
get the resource id
'''
def get_resource_id(self) :
try:
if hasattr(self, 'id'):
return self.id
else:
return None
except Exception as e :
raise e
'''
get the resource type
'''
def get_object_type(self) :
try:
return "perf_lb_ssl_traffic_report"
except Exception as e :
raise e
'''
Returns the value of object identifier argument.
'''
def get_object_id(self) :
try:
return None
except Exception as e :
raise e
'''
Returns the value of object file path argument.
'''
@property
def file_path_value(self) :
try:
return None
except Exception as e :
raise e
'''
Returns the value of object file component name.
'''
@property
def file_component_value(self) :
try :
return "perf_lb_ssl_traffic_reports"
except Exception as e :
raise e
'''
get sslctxsessionnewrate Value
'''
@property
def sslctxsessionnewrate(self) :
try:
return self._sslctxsessionnewrate
except Exception as e :
raise e
'''
set sslctxsessionnewrate Value
'''
@sslctxsessionnewrate.setter
def sslctxsessionnewrate(self,sslctxsessionnewrate):
try :
if not isinstance(sslctxsessionnewrate,float):
raise TypeError("sslctxsessionnewrate must be set to float value")
self._sslctxsessionnewrate = sslctxsessionnewrate
except Exception as e :
raise e
'''
get vsvrName Value
'''
@property
def vsvrName(self) :
try:
return self._vsvrName
except Exception as e :
raise e
'''
set vsvrName Value
'''
@vsvrName.setter
def vsvrName(self,vsvrName):
try :
if not isinstance(vsvrName,str):
raise TypeError("vsvrName must be set to str value")
self._vsvrName = vsvrName
except Exception as e :
raise e
'''
get sslctxdecbytesrate Value
'''
@property
def sslctxdecbytesrate(self) :
try:
return self._sslctxdecbytesrate
except Exception as e :
raise e
'''
set sslctxdecbytesrate Value
'''
@sslctxdecbytesrate.setter
def sslctxdecbytesrate(self,sslctxdecbytesrate):
try :
if not isinstance(sslctxdecbytesrate,float):
raise TypeError("sslctxdecbytesrate must be set to float value")
self._sslctxdecbytesrate = sslctxdecbytesrate
except Exception as e :
raise e
'''
get timestamp in milliseconds
'''
@property
def timestamp(self) :
try:
return self._timestamp
except Exception as e :
raise e
'''
set timestamp in milliseconds
'''
@timestamp.setter
def timestamp(self,timestamp):
try :
if not isinstance(timestamp,float):
raise TypeError("timestamp must be set to float value")
self._timestamp = timestamp
except Exception as e :
raise e
'''
get sslctxsessionhitsrate Value
'''
@property
def sslctxsessionhitsrate(self) :
try:
return self._sslctxsessionhitsrate
except Exception as e :
raise e
'''
set sslctxsessionhitsrate Value
'''
@sslctxsessionhitsrate.setter
def sslctxsessionhitsrate(self,sslctxsessionhitsrate):
try :
if not isinstance(sslctxsessionhitsrate,float):
raise TypeError("sslctxsessionhitsrate must be set to float value")
self._sslctxsessionhitsrate = sslctxsessionhitsrate
except Exception as e :
raise e
'''
get sslctxencbytesrate Value
'''
@property
def sslctxencbytesrate(self) :
try:
return self._sslctxencbytesrate
except Exception as e :
raise e
'''
set sslctxencbytesrate Value
'''
@sslctxencbytesrate.setter
def sslctxencbytesrate(self,sslctxencbytesrate):
try :
if not isinstance(sslctxencbytesrate,float):
raise TypeError("sslctxencbytesrate must be set to float value")
self._sslctxencbytesrate = sslctxencbytesrate
except Exception as e :
raise e
'''
get Device IP Address
'''
@property
def device_ip_address(self) :
try:
return self._device_ip_address
except Exception as e :
raise e
'''
set Device IP Address
'''
@device_ip_address.setter
def device_ip_address(self,device_ip_address):
try :
if not isinstance(device_ip_address,str):
raise TypeError("device_ip_address must be set to str value")
self._device_ip_address = device_ip_address
except Exception as e :
raise e
'''
Use this operation to get LB Vserver Information.
'''
@classmethod
def get(cls,client = None,resource="",option_=""):
try:
response=""
if not resource :
perf_lb_ssl_traffic_report_obj=perf_lb_ssl_traffic_report()
response = perf_lb_ssl_traffic_report_obj.get_resources(client,option_)
else:
response = resource.get_resource(client, option_)
return response
except Exception as e :
raise e
'''
Use this API to fetch filtered set of perf_lb_ssl_traffic_report resources.
filter string should be in JSON format.eg: "vm_state:DOWN,name:[a-z]+"
'''
@classmethod
def get_filtered(cls,service,filter_) :
try:
perf_lb_ssl_traffic_report_obj = perf_lb_ssl_traffic_report()
option_ = options()
option_._filter=filter_
return perf_lb_ssl_traffic_report_obj.getfiltered(service, option_)
except Exception as e :
raise e
'''
* Use this API to count the perf_lb_ssl_traffic_report resources.
'''
@classmethod
def count(cls,service) :
try:
perf_lb_ssl_traffic_report_obj = perf_lb_ssl_traffic_report()
option_ = options()
option_._count=True
response = perf_lb_ssl_traffic_report_obj.get_resources(service, option_)
if response :
return response[0].__dict__['___count']
return 0
except Exception as e :
raise e
'''
Use this API to count the filtered set of perf_lb_ssl_traffic_report resources.
filter string should be in JSON format.eg: "vm_state:DOWN,name:[a-z]+"
'''
@classmethod
def count_filtered(cls,service,filter_):
try:
perf_lb_ssl_traffic_report_obj = perf_lb_ssl_traffic_report()
option_ = options()
option_._count=True
option_._filter=filter_
response = perf_lb_ssl_traffic_report_obj.getfiltered(service, option_)
if response :
return response[0].__dict__['_count']
return 0;
except Exception as e :
raise e
'''
Converts API response into object and returns the object array in case of get request.
'''
def get_nitro_response(self,service ,response):
try :
result=service.payload_formatter.string_to_resource(perf_lb_ssl_traffic_report_response, response, self.__class__.__name__)
if(result.errorcode != 0) :
if (result.errorcode == 444) :
service.clear_session(self)
if result.severity :
if (result.severity == "ERROR") :
raise nitro_exception(result.errorcode, str(result.message), str(result.severity))
else :
raise nitro_exception(result.errorcode, str(result.message), str(result.severity))
return result.perf_lb_ssl_traffic_report
except Exception as e :
raise e
'''
Converts API response into object and returns the object array .
'''
def get_nitro_bulk_response(self,service ,response):
try :
result=service.payload_formatter.string_to_resource(perf_lb_ssl_traffic_report_responses, response, "perf_lb_ssl_traffic_report_response_array")
if(result.errorcode != 0) :
if (result.errorcode == 444) :
service.clear_session(self)
response = result.perf_lb_ssl_traffic_report_response_array
i=0
error = [perf_lb_ssl_traffic_report() for _ in range(len(response))]
for obj in response :
error[i]= obj._message
i=i+1
raise nitro_exception(result.errorcode, str(result.message), error)
response = result.perf_lb_ssl_traffic_report_response_array
i=0
perf_lb_ssl_traffic_report_objs = [perf_lb_ssl_traffic_report() for _ in range(len(response))]
for obj in response :
if hasattr(obj,'_perf_lb_ssl_traffic_report'):
for props in obj._perf_lb_ssl_traffic_report:
result = service.payload_formatter.string_to_bulk_resource(perf_lb_ssl_traffic_report_response,self.__class__.__name__,props)
perf_lb_ssl_traffic_report_objs[i] = result.perf_lb_ssl_traffic_report
i=i+1
return perf_lb_ssl_traffic_report_objs
except Exception as e :
raise e
'''
Performs generic data validation for the operation to be performed
'''
def validate(self,operationType):
try:
super(perf_lb_ssl_traffic_report,self).validate()
except Exception as e :
raise e
'''
Forms the proper response.
'''
class perf_lb_ssl_traffic_report_response(base_response):
def __init__(self,length=1) :
self.perf_lb_ssl_traffic_report= []
self.errorcode = 0
self.message = ""
self.severity = ""
self.perf_lb_ssl_traffic_report= [ perf_lb_ssl_traffic_report() for _ in range(length)]
'''
Forms the proper response for bulk operation.
'''
class perf_lb_ssl_traffic_report_responses(base_response):
def __init__(self,length=1) :
self.perf_lb_ssl_traffic_report_response_array = []
self.errorcode = 0
self.message = ""
self.perf_lb_ssl_traffic_report_response_array = [ perf_lb_ssl_traffic_report() for _ in range(length)]
| [
"[email protected]"
] | |
ed617556fb90a2bcacc41fc0dd07aad3bf86d7ba | 71f00ed87cd980bb2f92c08b085c5abe40a317fb | /Data/GoogleCloud/google-cloud-sdk/data/cli/gcloud_completions.py | c93dd5a72968127b9526867a954447386eb4b703 | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | permissive | factoryofthesun/Rao-NLP | 2bd8269a8eed1cb352c14c8fde88e3111ccca088 | 87f9723f5ee51bd21310d58c3425a2a7271ec3c5 | refs/heads/master | 2023-04-18T08:54:08.370155 | 2020-06-09T23:24:07 | 2020-06-09T23:24:07 | 248,070,291 | 0 | 1 | null | 2021-04-30T21:13:04 | 2020-03-17T20:49:03 | Python | UTF-8 | Python | false | false | 1,941,962 | py | # -*- coding: utf-8 -*- #
"""Cloud SDK static completion CLI tree."""
# pylint: disable=line-too-long,bad-continuation
STATIC_COMPLETION_CLI_TREE = {
"commands": {
"access-context-manager": {
"commands": {
"levels": {
"commands": {
"conditions": {
"commands": {
"list": {
"commands": {},
"flags": {
"--level": "value",
"--policy": "value"
}
}
},
"flags": {}
},
"create": {
"commands": {},
"flags": {
"--async": "bool",
"--basic-level-spec": "value",
"--combine-function": [
"and",
"or"
],
"--description": "value",
"--policy": "value",
"--title": "value"
}
},
"delete": {
"commands": {},
"flags": {
"--async": "bool",
"--policy": "value"
}
},
"describe": {
"commands": {},
"flags": {
"--policy": "value"
}
},
"list": {
"commands": {},
"flags": {
"--filter": "value",
"--limit": "value",
"--page-size": "value",
"--policy": "value",
"--sort-by": "value"
}
},
"update": {
"commands": {},
"flags": {
"--basic-level-spec": "value",
"--combine-function": [
"and",
"or"
],
"--description": "value",
"--policy": "value",
"--title": "value"
}
}
},
"flags": {}
},
"perimeters": {
"commands": {
"create": {
"commands": {},
"flags": {
"--access-levels": "value",
"--async": "bool",
"--description": "value",
"--perimeter-type": [
"bridge",
"regular"
],
"--policy": "value",
"--resources": "value",
"--restricted-services": "value",
"--title": "value"
}
},
"delete": {
"commands": {},
"flags": {
"--async": "bool",
"--policy": "value"
}
},
"describe": {
"commands": {},
"flags": {
"--policy": "value"
}
},
"list": {
"commands": {},
"flags": {
"--filter": "value",
"--limit": "value",
"--page-size": "value",
"--policy": "value",
"--sort-by": "value"
}
},
"update": {
"commands": {},
"flags": {
"--add-access-levels": "value",
"--add-resources": "value",
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}
},
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"--tags": "value",
"--zone": "dynamic"
}
},
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"--csek-key-file": "value",
"--device-name": "value",
"--disk": "value",
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"regional",
"zonal"
],
"--force-attach": "bool",
"--mode": [
"ro",
"rw"
],
"--zone": "dynamic"
}
},
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"--address": "value",
"--async": "bool",
"--boot-disk-auto-delete": "bool",
"--boot-disk-device-name": "value",
"--boot-disk-kms-key": "dynamic",
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"--boot-disk-kms-location": "dynamic",
"--boot-disk-kms-project": "dynamic",
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"--boot-disk-type": "value",
"--can-ip-forward": "bool",
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"--custom-vm-type": "value",
"--deletion-protection": "bool",
"--description": "value",
"--disk": "value",
"--enable-display-device": "bool",
"--erase-windows-vss-signature": "bool",
"--hostname": "value",
"--image": "value",
"--image-family": "value",
"--image-project": "value",
"--labels": "value",
"--local-nvdimm": "value",
"--local-ssd": "value",
"--machine-type": "dynamic",
"--maintenance-policy": [
"MIGRATE",
"TERMINATE"
],
"--metadata": "value",
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"--min-node-cpu": "value",
"--network": "value",
"--network-interface": "value",
"--network-tier": "value",
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"--no-public-dns": "bool",
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"--on-host-maintenance": [
"MIGRATE",
"TERMINATE"
],
"--post-key-revocation-action-type": [
"noop",
"shutdown"
],
"--preemptible": "bool",
"--private-network-ip": "value",
"--public-dns": "bool",
"--public-ptr": "bool",
"--public-ptr-domain": "value",
"--require-csek-key-create": "bool",
"--reservation": "value",
"--reservation-affinity": [
"any",
"none",
"specific"
],
"--resource-policies": "value",
"--restart-on-failure": "bool",
"--scopes": "value",
"--service-account": "value",
"--shielded-integrity-monitoring": "bool",
"--shielded-secure-boot": "bool",
"--shielded-vtpm": "bool",
"--source-instance-template": "dynamic",
"--source-machine-image": "dynamic",
"--source-machine-image-csek-key-file": "value",
"--source-snapshot": "value",
"--subnet": "value",
"--tags": "value",
"--zone": "dynamic"
}
},
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"--address": "value",
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"--boot-disk-size": "value",
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"--container-mount-tmpfs": "value",
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"never",
"on-failure"
],
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"--disk": "value",
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"--image-project": "value",
"--labels": "value",
"--local-nvdimm": "value",
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"--maintenance-policy": [
"MIGRATE",
"TERMINATE"
],
"--metadata": "value",
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"--min-cpu-platform": "value",
"--network": "value",
"--network-interface": "value",
"--network-tier": "value",
"--no-address": "bool",
"--no-public-dns": "bool",
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"--on-host-maintenance": [
"MIGRATE",
"TERMINATE"
],
"--preemptible": "bool",
"--private-network-ip": "value",
"--public-dns": "bool",
"--public-ptr": "bool",
"--public-ptr-domain": "value",
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"--scopes": "value",
"--service-account": "value",
"--source-instance-template": "dynamic",
"--subnet": "value",
"--tags": "value",
"--zone": "dynamic"
}
},
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"flags": {
"--delete-disks": [
"all",
"boot",
"data"
],
"--keep-disks": [
"all",
"boot",
"data"
],
"--zone": "dynamic"
}
},
"delete-access-config": {
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"flags": {
"--access-config-name": "value",
"--network-interface": "value",
"--zone": "dynamic"
}
},
"describe": {
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"--guest-attributes": "value",
"--zone": "dynamic"
}
},
"detach-disk": {
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"--device-name": "value",
"--disk": "value",
"--disk-scope": [
"regional",
"zonal"
],
"--zone": "dynamic"
}
},
"export": {
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"flags": {
"--destination": "value",
"--zone": "value"
}
},
"get-guest-attributes": {
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"flags": {
"--query-path": "value",
"--zone": "value"
}
},
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"--filter": "value",
"--limit": "value",
"--page-size": "value",
"--sort-by": "value",
"--zone": "value"
}
},
"get-serial-port-output": {
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"flags": {
"--port": "value",
"--start": "value",
"--zone": "dynamic"
}
},
"get-shielded-identity": {
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"flags": {
"--zone": "dynamic"
}
},
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"--can-ip-forward": "bool",
"--custom-cpu": "value",
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"--custom-vm-type": "value",
"--deletion-protection": "bool",
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"--hostname": "value",
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"--network": "value",
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"--node": "value",
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"windows-10-x64-byol",
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"windows-2012r2",
"windows-2012r2-byol",
"windows-2016",
"windows-2016-byol",
"windows-2019",
"windows-2019-byol",
"windows-7-x64-byol",
"windows-7-x86-byol",
"windows-8-x64-byol",
"windows-8-x86-byol"
],
"--private-network-ip": "value",
"--restart-on-failure": "bool",
"--source-uri": "value",
"--subnet": "value",
"--tags": "value",
"--timeout": "value",
"--zone": "dynamic"
}
},
"list": {
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"--limit": "value",
"--page-size": "value",
"--regexp": "value",
"--sort-by": "value",
"--uri": "bool",
"--zones": "dynamic"
}
},
"move": {
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"flags": {
"--async": "bool",
"--destination-zone": "dynamic",
"--zone": "dynamic"
}
},
"network-interfaces": {
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"get-effective-firewalls": {
"commands": {},
"flags": {
"--network-interface": "value",
"--zone": "dynamic"
}
},
"update": {
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"flags": {
"--aliases": "value",
"--network-interface": "value",
"--zone": "dynamic"
}
}
},
"flags": {}
},
"os-inventory": {
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"flags": {
"--zone": "dynamic"
}
},
"list-instances": {
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"--filter": "value",
"--inventory-filter": "value",
"--kernel-version": "value",
"--limit": "value",
"--os-shortname": "value",
"--os-version": "value",
"--package-name": "value",
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"--page-size": "value",
"--sort-by": "value",
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}
}
},
"flags": {}
},
"remove-iam-policy-binding": {
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"flags": {
"--all": "bool",
"--condition": "value",
"--condition-from-file": "value",
"--member": "value",
"--role": "dynamic",
"--zone": "value"
}
},
"remove-labels": {
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"--all": "bool",
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"--zone": "dynamic"
}
},
"remove-metadata": {
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"flags": {
"--all": "bool",
"--keys": "value",
"--zone": "dynamic"
}
},
"remove-resource-policies": {
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"--resource-policies": "value",
"--zone": "dynamic"
}
},
"remove-tags": {
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"flags": {
"--all": "bool",
"--tags": "value",
"--zone": "dynamic"
}
},
"reset": {
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"flags": {
"--zone": "dynamic"
}
},
"resume": {
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"flags": {
"--async": "bool",
"--csek-key-file": "value",
"--zone": "dynamic"
}
},
"set-disk-auto-delete": {
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"flags": {
"--auto-delete": "bool",
"--device-name": "value",
"--disk": "value",
"--zone": "dynamic"
}
},
"set-iam-policy": {
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"flags": {
"--zone": "value"
}
},
"set-machine-type": {
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"flags": {
"--custom-cpu": "value",
"--custom-extensions": "bool",
"--custom-memory": "value",
"--custom-vm-type": "value",
"--machine-type": "dynamic",
"--zone": "dynamic"
}
},
"set-min-cpu-platform": {
"commands": {},
"flags": {
"--async": "bool",
"--min-cpu-platform": "value",
"--zone": "dynamic"
}
},
"set-name": {
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"flags": {
"--new-name": "value",
"--zone": "dynamic"
}
},
"set-scheduling": {
"commands": {},
"flags": {
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"--clear-node-affinities": "bool",
"--maintenance-policy": [
"MIGRATE",
"TERMINATE"
],
"--min-node-cpu": "value",
"--node": "value",
"--node-affinity-file": "value",
"--node-group": "value",
"--on-host-maintenance": [
"MIGRATE",
"TERMINATE"
],
"--restart-on-failure": "bool",
"--zone": "dynamic"
}
},
"set-scopes": {
"commands": {},
"flags": {
"--no-scopes": "bool",
"--no-service-account": "bool",
"--scopes": "value",
"--service-account": "value",
"--zone": "dynamic"
}
},
"simulate-maintenance-event": {
"commands": {},
"flags": {
"--async": "bool",
"--zone": "dynamic"
}
},
"start": {
"commands": {},
"flags": {
"--async": "bool",
"--csek-key-file": "value",
"--zone": "dynamic"
}
},
"stop": {
"commands": {},
"flags": {
"--async": "bool",
"--discard-local-ssd": "bool",
"--zone": "dynamic"
}
},
"suspend": {
"commands": {},
"flags": {
"--async": "bool",
"--discard-local-ssd": "bool",
"--zone": "dynamic"
}
},
"tail-serial-port-output": {
"commands": {},
"flags": {
"--port": "value",
"--zone": "dynamic"
}
},
"update": {
"commands": {},
"flags": {
"--clear-labels": "bool",
"--deletion-protection": "bool",
"--enable-display-device": "bool",
"--min-cpu-platform": "value",
"--remove-labels": "value",
"--shielded-integrity-monitoring": "bool",
"--shielded-learn-integrity-policy": "bool",
"--shielded-secure-boot": "bool",
"--shielded-vtpm": "bool",
"--update-labels": "value",
"--zone": "dynamic"
}
},
"update-access-config": {
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"flags": {
"--network-interface": "value",
"--network-tier": "value",
"--no-public-dns": "bool",
"--no-public-ptr": "bool",
"--no-public-ptr-domain": "bool",
"--public-dns": "bool",
"--public-ptr": "bool",
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"--zone": "dynamic"
}
},
"update-container": {
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"flags": {
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"--clear-container-command": "bool",
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"--container-command": "value",
"--container-env": "value",
"--container-env-file": "value",
"--container-image": "value",
"--container-mount-disk": "value",
"--container-mount-host-path": "value",
"--container-mount-tmpfs": "value",
"--container-privileged": "bool",
"--container-restart-policy": [
"always",
"never",
"on-failure"
],
"--container-stdin": "bool",
"--container-tty": "bool",
"--remove-container-env": "value",
"--remove-container-mounts": "value",
"--zone": "dynamic"
}
},
"update-from-file": {
"commands": {},
"flags": {
"--minimal-action": "value",
"--most-disruptive-allowed-action": "value",
"--source": "value",
"--zone": "dynamic"
}
},
"vulnerabilities": {
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"list": {
"commands": {},
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"--instance": "dynamic",
"--instance-zone": "dynamic",
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"--page-size": "value",
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}
}
},
"flags": {}
}
},
"flags": {}
},
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"commands": {
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"commands": {
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"1g",
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"500m",
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"50m",
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],
"--candidate-subnets": "value",
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"--region": "dynamic",
"--router": "dynamic",
"--vlan": "value"
}
},
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"200m",
"20g",
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"300m",
"400m",
"500m",
"50g",
"50m",
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],
"--clear-labels": "bool",
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"--remove-labels": "value",
"--update-labels": "value"
}
}
},
"flags": {}
},
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}
},
"describe": {
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}
},
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"--limit": "value",
"--page-size": "value",
"--sort-by": "value",
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}
},
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"--dry-run": "bool",
"--edge-availability-domain": [
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"availability-domain-1",
"availability-domain-2"
],
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"--router": "dynamic"
}
},
"update": {
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"--remove-labels": "value",
"--update-labels": "value"
}
}
},
"flags": {}
}
},
"flags": {}
},
"create": {
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"flags": {
"--admin-enabled": "bool",
"--customer-name": "value",
"--description": "value",
"--interconnect-type": [
"DEDICATED",
"IT_PRIVATE",
"PARTNER"
],
"--link-type": [
"LINK_TYPE_ETHERNET_100G_LR",
"LINK_TYPE_ETHERNET_10G_LR"
],
"--location": "dynamic",
"--noc-contact-email": "value",
"--requested-link-count": "value"
}
},
"delete": {
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"flags": {}
},
"describe": {
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"flags": {}
},
"get-diagnostics": {
"commands": {},
"flags": {}
},
"list": {
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"--limit": "value",
"--page-size": "value",
"--sort-by": "value",
"--uri": "bool"
}
},
"locations": {
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"flags": {}
},
"list": {
"commands": {},
"flags": {
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"--limit": "value",
"--page-size": "value",
"--sort-by": "value",
"--uri": "bool"
}
}
},
"flags": {}
},
"update": {
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"flags": {
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"--clear-labels": "bool",
"--description": "value",
"--noc-contact-email": "value",
"--remove-labels": "value",
"--requested-link-count": "value",
"--update-labels": "value"
}
}
},
"flags": {}
},
"machine-images": {
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"commands": {},
"flags": {
"--member": "value",
"--role": "dynamic"
}
},
"create": {
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"flags": {
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"--description": "value",
"--guest-flush": "bool",
"--kms-key": "dynamic",
"--kms-keyring": "dynamic",
"--kms-location": "dynamic",
"--kms-project": "dynamic",
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"--source-disk-csek-key": "value",
"--source-instance": "dynamic",
"--source-instance-zone": "dynamic",
"--storage-location": "value"
}
},
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"flags": {}
},
"describe": {
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"flags": {}
},
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"--limit": "value",
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"--sort-by": "value"
}
},
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"--can-ip-forward": "bool",
"--custom-cpu": "value",
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"--custom-vm-type": "value",
"--description": "value",
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"--labels": "value",
"--machine-type": "dynamic",
"--network": "value",
"--network-tier": "value",
"--os": [
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"windows-2012r2",
"windows-2012r2-byol",
"windows-2016",
"windows-2016-byol",
"windows-2019",
"windows-2019-byol",
"windows-7-x64-byol",
"windows-7-x86-byol",
"windows-8-x64-byol",
"windows-8-x86-byol"
],
"--restart-on-failure": "bool",
"--source-uri": "value",
"--storage-location": "value",
"--subnet": "value",
"--tags": "value",
"--timeout": "value",
"--zone": "dynamic"
}
},
"list": {
"commands": {},
"flags": {
"--filter": "value",
"--limit": "value",
"--page-size": "value",
"--sort-by": "value",
"--uri": "bool"
}
},
"remove-iam-policy-binding": {
"commands": {},
"flags": {
"--member": "value",
"--role": "dynamic"
}
},
"set-iam-policy": {
"commands": {},
"flags": {}
}
},
"flags": {}
},
"machine-types": {
"commands": {
"describe": {
"commands": {},
"flags": {
"--zone": "dynamic"
}
},
"list": {
"commands": {},
"flags": {
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"--limit": "value",
"--page-size": "value",
"--regexp": "value",
"--sort-by": "value",
"--uri": "bool",
"--zones": "dynamic"
}
}
},
"flags": {}
},
"network-endpoint-groups": {
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"create": {
"commands": {},
"flags": {
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"--app-engine-service": "value",
"--app-engine-url-mask": "value",
"--app-engine-version": "value",
"--cloud-function-name": "value",
"--cloud-function-url-mask": "value",
"--cloud-run-service": "value",
"--cloud-run-tag": "value",
"--cloud-run-url-mask": "value",
"--default-port": "value",
"--global": "bool",
"--network": "value",
"--network-endpoint-type": [
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"gce-vm-primary-ip",
"internet-fqdn-port",
"internet-ip-port",
"non-gcp-private-ip-port",
"serverless"
],
"--region": "dynamic",
"--subnet": "value",
"--zone": "dynamic"
}
},
"delete": {
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"--region": "dynamic",
"--zone": "dynamic"
}
},
"describe": {
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"--zone": "dynamic"
}
},
"list": {
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"--regions": "value",
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}
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}
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}
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}
}
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},
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],
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],
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}
},
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},
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}
}
},
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},
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},
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}
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},
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},
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},
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},
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}
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},
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},
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},
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},
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},
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},
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}
},
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},
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],
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}
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},
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},
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},
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},
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},
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}
},
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},
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},
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},
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},
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}
},
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},
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}
},
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},
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}
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},
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},
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},
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},
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}
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],
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}
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}
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],
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}
},
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}
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],
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},
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}
},
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}
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}
}
},
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},
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}
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}
},
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},
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},
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},
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}
},
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}
},
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}
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}
},
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],
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}
},
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}
},
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}
},
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},
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}
},
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}
},
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}
},
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},
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},
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}
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},
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},
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],
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],
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},
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},
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},
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},
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}
},
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},
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}
},
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},
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}
},
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],
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}
},
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},
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}
},
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}
},
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},
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}
},
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}
},
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},
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],
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},
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},
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},
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},
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}
},
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}
}
},
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},
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},
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},
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},
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},
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}
},
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},
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2
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2,
3
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}
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},
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}
},
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},
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"flags": {}
},
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}
},
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},
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}
},
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}
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},
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},
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}
},
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}
}
},
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}
},
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},
"flags": {}
},
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},
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}
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},
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}
},
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"--limit": "value",
"--page-size": "value",
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"--zone": "dynamic"
}
},
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"commands": {},
"flags": {
"--instances": "value",
"--zone": "dynamic"
}
},
"set-named-ports": {
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"--named-ports": "value",
"--zone": "dynamic"
}
}
},
"flags": {}
}
},
"flags": {}
},
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"commands": {},
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"--role": "dynamic"
}
},
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"--boot-disk-auto-delete": "bool",
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"--boot-disk-kms-keyring": "dynamic",
"--boot-disk-kms-location": "dynamic",
"--boot-disk-kms-project": "dynamic",
"--boot-disk-size": "value",
"--boot-disk-type": "value",
"--can-ip-forward": "bool",
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"--custom-cpu": "value",
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"--custom-vm-type": "value",
"--description": "value",
"--disk": "value",
"--image": "value",
"--image-family": "value",
"--image-project": "value",
"--labels": "value",
"--local-ssd": "value",
"--machine-type": "dynamic",
"--maintenance-policy": [
"MIGRATE",
"TERMINATE"
],
"--metadata": "value",
"--metadata-from-file": "value",
"--min-cpu-platform": "value",
"--network": "value",
"--network-interface": "value",
"--network-tier": "value",
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"--no-scopes": "bool",
"--no-service-account": "bool",
"--node": "value",
"--node-affinity-file": "value",
"--node-group": "value",
"--preemptible": "bool",
"--private-network-ip": "value",
"--region": "dynamic",
"--reservation": "value",
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"none",
"specific"
],
"--restart-on-failure": "bool",
"--scopes": "value",
"--service-account": "value",
"--shielded-integrity-monitoring": "bool",
"--shielded-secure-boot": "bool",
"--shielded-vtpm": "bool",
"--source-instance": "dynamic",
"--source-instance-zone": "dynamic",
"--subnet": "value",
"--tags": "value"
}
},
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"flags": {
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"--boot-disk-auto-delete": "bool",
"--boot-disk-device-name": "value",
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"--boot-disk-type": "value",
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"--container-command": "value",
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"--container-env-file": "value",
"--container-image": "value",
"--container-mount-disk": "value",
"--container-mount-host-path": "value",
"--container-mount-tmpfs": "value",
"--container-privileged": "bool",
"--container-restart-policy": [
"always",
"never",
"on-failure"
],
"--container-stdin": "bool",
"--container-tty": "bool",
"--create-disk": "value",
"--custom-cpu": "value",
"--custom-extensions": "bool",
"--custom-memory": "value",
"--custom-vm-type": "value",
"--description": "value",
"--disk": "value",
"--image": "value",
"--image-family": "value",
"--image-project": "value",
"--labels": "value",
"--machine-type": "dynamic",
"--maintenance-policy": [
"MIGRATE",
"TERMINATE"
],
"--metadata": "value",
"--metadata-from-file": "value",
"--min-cpu-platform": "value",
"--network": "value",
"--network-interface": "value",
"--network-tier": "value",
"--no-address": "bool",
"--no-scopes": "bool",
"--no-service-account": "bool",
"--preemptible": "bool",
"--private-network-ip": "value",
"--region": "dynamic",
"--restart-on-failure": "bool",
"--scopes": "value",
"--service-account": "value",
"--subnet": "value",
"--tags": "value"
}
},
"delete": {
"commands": {},
"flags": {}
},
"describe": {
"commands": {},
"flags": {}
},
"get-iam-policy": {
"commands": {},
"flags": {
"--filter": "value",
"--limit": "value",
"--page-size": "value",
"--sort-by": "value"
}
},
"list": {
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"flags": {
"--filter": "value",
"--limit": "value",
"--page-size": "value",
"--regexp": "value",
"--sort-by": "value",
"--uri": "bool"
}
},
"remove-iam-policy-binding": {
"commands": {},
"flags": {
"--member": "value",
"--role": "dynamic"
}
},
"set-iam-policy": {
"commands": {},
"flags": {}
}
},
"flags": {}
},
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"commands": {},
"flags": {
"--access-config-name": "value",
"--address": "value",
"--network-interface": "value",
"--network-tier": "value",
"--no-public-ptr": "bool",
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}
},
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"flags": {
"--member": "value",
"--role": "dynamic",
"--zone": "value"
}
},
"add-labels": {
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"--labels": "value",
"--zone": "dynamic"
}
},
"add-metadata": {
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"flags": {
"--metadata": "value",
"--metadata-from-file": "value",
"--zone": "dynamic"
}
},
"add-tags": {
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"flags": {
"--tags": "value",
"--zone": "dynamic"
}
},
"attach-disk": {
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"flags": {
"--boot": "bool",
"--csek-key-file": "value",
"--device-name": "value",
"--disk": "value",
"--disk-scope": [
"regional",
"zonal"
],
"--force-attach": "bool",
"--mode": [
"ro",
"rw"
],
"--zone": "dynamic"
}
},
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"--accelerator": "value",
"--address": "value",
"--async": "bool",
"--boot-disk-auto-delete": "bool",
"--boot-disk-device-name": "value",
"--boot-disk-kms-key": "dynamic",
"--boot-disk-kms-keyring": "dynamic",
"--boot-disk-kms-location": "dynamic",
"--boot-disk-kms-project": "dynamic",
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"--boot-disk-type": "value",
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"--custom-cpu": "value",
"--custom-extensions": "bool",
"--custom-memory": "value",
"--custom-vm-type": "value",
"--deletion-protection": "bool",
"--description": "value",
"--disk": "value",
"--enable-display-device": "bool",
"--hostname": "value",
"--image": "value",
"--image-family": "value",
"--image-project": "value",
"--labels": "value",
"--local-ssd": "value",
"--machine-type": "dynamic",
"--maintenance-policy": [
"MIGRATE",
"TERMINATE"
],
"--metadata": "value",
"--metadata-from-file": "value",
"--min-cpu-platform": "value",
"--network": "value",
"--network-interface": "value",
"--network-tier": "value",
"--no-address": "bool",
"--no-public-ptr": "bool",
"--no-public-ptr-domain": "bool",
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"--no-service-account": "bool",
"--node": "value",
"--node-affinity-file": "value",
"--node-group": "value",
"--preemptible": "bool",
"--private-network-ip": "value",
"--public-ptr": "bool",
"--public-ptr-domain": "value",
"--require-csek-key-create": "bool",
"--reservation": "value",
"--reservation-affinity": [
"any",
"none",
"specific"
],
"--restart-on-failure": "bool",
"--scopes": "value",
"--service-account": "value",
"--shielded-integrity-monitoring": "bool",
"--shielded-secure-boot": "bool",
"--shielded-vtpm": "bool",
"--source-instance-template": "dynamic",
"--source-snapshot": "value",
"--subnet": "value",
"--tags": "value",
"--zone": "dynamic"
}
},
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"--address": "value",
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"never",
"on-failure"
],
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"--custom-vm-type": "value",
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"--disk": "value",
"--image": "value",
"--image-family": "value",
"--image-project": "value",
"--labels": "value",
"--machine-type": "dynamic",
"--maintenance-policy": [
"MIGRATE",
"TERMINATE"
],
"--metadata": "value",
"--metadata-from-file": "value",
"--min-cpu-platform": "value",
"--network": "value",
"--network-interface": "value",
"--network-tier": "value",
"--no-address": "bool",
"--no-public-ptr": "bool",
"--no-public-ptr-domain": "bool",
"--no-scopes": "bool",
"--no-service-account": "bool",
"--preemptible": "bool",
"--private-network-ip": "value",
"--public-ptr": "bool",
"--public-ptr-domain": "value",
"--restart-on-failure": "bool",
"--scopes": "value",
"--service-account": "value",
"--source-instance-template": "dynamic",
"--subnet": "value",
"--tags": "value",
"--zone": "dynamic"
}
},
"delete": {
"commands": {},
"flags": {
"--delete-disks": [
"all",
"boot",
"data"
],
"--keep-disks": [
"all",
"boot",
"data"
],
"--zone": "dynamic"
}
},
"delete-access-config": {
"commands": {},
"flags": {
"--access-config-name": "value",
"--network-interface": "value",
"--zone": "dynamic"
}
},
"describe": {
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"flags": {
"--zone": "dynamic"
}
},
"detach-disk": {
"commands": {},
"flags": {
"--device-name": "value",
"--disk": "value",
"--disk-scope": [
"regional",
"zonal"
],
"--zone": "dynamic"
}
},
"export": {
"commands": {},
"flags": {
"--destination": "value",
"--zone": "value"
}
},
"get-guest-attributes": {
"commands": {},
"flags": {
"--query-path": "value",
"--zone": "value"
}
},
"get-iam-policy": {
"commands": {},
"flags": {
"--filter": "value",
"--limit": "value",
"--page-size": "value",
"--sort-by": "value",
"--zone": "value"
}
},
"get-serial-port-output": {
"commands": {},
"flags": {
"--port": "value",
"--start": "value",
"--zone": "dynamic"
}
},
"get-shielded-identity": {
"commands": {},
"flags": {
"--zone": "dynamic"
}
},
"import": {
"commands": {},
"flags": {
"--async": "bool",
"--can-ip-forward": "bool",
"--custom-cpu": "value",
"--custom-extensions": "bool",
"--custom-memory": "value",
"--custom-vm-type": "value",
"--deletion-protection": "bool",
"--description": "value",
"--guest-environment": "bool",
"--hostname": "value",
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"--network": "value",
"--network-tier": "value",
"--node": "value",
"--node-affinity-file": "value",
"--node-group": "value",
"--os": [
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"centos-7",
"debian-8",
"debian-9",
"rhel-6",
"rhel-6-byol",
"rhel-7",
"rhel-7-byol",
"ubuntu-1404",
"ubuntu-1604",
"ubuntu-1804",
"windows-10-x64-byol",
"windows-10-x86-byol",
"windows-2008r2",
"windows-2008r2-byol",
"windows-2012",
"windows-2012-byol",
"windows-2012r2",
"windows-2012r2-byol",
"windows-2016",
"windows-2016-byol",
"windows-2019",
"windows-2019-byol",
"windows-7-x64-byol",
"windows-7-x86-byol",
"windows-8-x64-byol",
"windows-8-x86-byol"
],
"--private-network-ip": "value",
"--restart-on-failure": "bool",
"--source-uri": "value",
"--subnet": "value",
"--tags": "value",
"--timeout": "value",
"--zone": "dynamic"
}
},
"list": {
"commands": {},
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"--limit": "value",
"--page-size": "value",
"--regexp": "value",
"--sort-by": "value",
"--uri": "bool",
"--zones": "dynamic"
}
},
"move": {
"commands": {},
"flags": {
"--async": "bool",
"--destination-zone": "dynamic",
"--zone": "dynamic"
}
},
"network-interfaces": {
"commands": {
"update": {
"commands": {},
"flags": {
"--aliases": "value",
"--network-interface": "value",
"--zone": "dynamic"
}
}
},
"flags": {}
},
"os-inventory": {
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"describe": {
"commands": {},
"flags": {
"--zone": "dynamic"
}
},
"list-instances": {
"commands": {},
"flags": {
"--filter": "value",
"--inventory-filter": "value",
"--kernel-version": "value",
"--limit": "value",
"--os-shortname": "value",
"--os-version": "value",
"--package-name": "value",
"--package-version": "value",
"--page-size": "value",
"--sort-by": "value",
"--uri": "bool"
}
}
},
"flags": {}
},
"remove-iam-policy-binding": {
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"flags": {
"--member": "value",
"--role": "dynamic",
"--zone": "value"
}
},
"remove-labels": {
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"flags": {
"--all": "bool",
"--labels": "value",
"--zone": "dynamic"
}
},
"remove-metadata": {
"commands": {},
"flags": {
"--all": "bool",
"--keys": "value",
"--zone": "dynamic"
}
},
"remove-tags": {
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"flags": {
"--all": "bool",
"--tags": "value",
"--zone": "dynamic"
}
},
"reset": {
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"flags": {
"--zone": "dynamic"
}
},
"set-disk-auto-delete": {
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"flags": {
"--auto-delete": "bool",
"--device-name": "value",
"--disk": "value",
"--zone": "dynamic"
}
},
"set-iam-policy": {
"commands": {},
"flags": {
"--zone": "value"
}
},
"set-machine-type": {
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"flags": {
"--custom-cpu": "value",
"--custom-extensions": "bool",
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"--custom-vm-type": "value",
"--machine-type": "dynamic",
"--zone": "dynamic"
}
},
"set-scheduling": {
"commands": {},
"flags": {
"--clear-node-affinities": "bool",
"--maintenance-policy": [
"MIGRATE",
"TERMINATE"
],
"--node": "value",
"--node-affinity-file": "value",
"--node-group": "value",
"--restart-on-failure": "bool",
"--zone": "dynamic"
}
},
"set-service-account": {
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"flags": {
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"--no-service-account": "bool",
"--scopes": "value",
"--service-account": "value",
"--zone": "dynamic"
}
},
"simulate-maintenance-event": {
"commands": {},
"flags": {
"--async": "bool",
"--zone": "dynamic"
}
},
"start": {
"commands": {},
"flags": {
"--async": "bool",
"--csek-key-file": "value",
"--zone": "dynamic"
}
},
"stop": {
"commands": {},
"flags": {
"--async": "bool",
"--zone": "dynamic"
}
},
"tail-serial-port-output": {
"commands": {},
"flags": {
"--port": "value",
"--zone": "dynamic"
}
},
"update": {
"commands": {},
"flags": {
"--clear-labels": "bool",
"--deletion-protection": "bool",
"--enable-display-device": "bool",
"--min-cpu-platform": "value",
"--remove-labels": "value",
"--shielded-integrity-monitoring": "bool",
"--shielded-learn-integrity-policy": "bool",
"--shielded-secure-boot": "bool",
"--shielded-vtpm": "bool",
"--update-labels": "value",
"--zone": "dynamic"
}
},
"update-access-config": {
"commands": {},
"flags": {
"--network-interface": "value",
"--no-public-ptr": "bool",
"--no-public-ptr-domain": "bool",
"--public-ptr": "bool",
"--public-ptr-domain": "value",
"--zone": "dynamic"
}
},
"update-container": {
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"flags": {
"--clear-container-args": "bool",
"--clear-container-command": "bool",
"--container-arg": "value",
"--container-command": "value",
"--container-env": "value",
"--container-env-file": "value",
"--container-image": "value",
"--container-mount-disk": "value",
"--container-mount-host-path": "value",
"--container-mount-tmpfs": "value",
"--container-privileged": "bool",
"--container-restart-policy": [
"always",
"never",
"on-failure"
],
"--container-stdin": "bool",
"--container-tty": "bool",
"--remove-container-env": "value",
"--remove-container-mounts": "value",
"--zone": "dynamic"
}
},
"update-from-file": {
"commands": {},
"flags": {
"--minimal-action": "value",
"--most-disruptive-allowed-action": "value",
"--source": "value",
"--zone": "dynamic"
}
}
},
"flags": {}
},
"interconnects": {
"commands": {
"attachments": {
"commands": {
"dedicated": {
"commands": {
"create": {
"commands": {},
"flags": {
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"10g",
"1g",
"200m",
"20g",
"2g",
"300m",
"400m",
"500m",
"50g",
"50m",
"5g"
],
"--candidate-subnets": "value",
"--description": "value",
"--enable-admin": "bool",
"--interconnect": "dynamic",
"--region": "dynamic",
"--router": "dynamic",
"--vlan": "value"
}
},
"update": {
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"10g",
"1g",
"200m",
"20g",
"2g",
"300m",
"400m",
"500m",
"50g",
"50m",
"5g"
],
"--description": "value",
"--enable-admin": "bool",
"--region": "dynamic"
}
}
},
"flags": {}
},
"delete": {
"commands": {},
"flags": {
"--region": "dynamic"
}
},
"describe": {
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"flags": {
"--region": "dynamic"
}
},
"list": {
"commands": {},
"flags": {
"--filter": "value",
"--limit": "value",
"--page-size": "value",
"--sort-by": "value",
"--uri": "bool"
}
},
"partner": {
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"create": {
"commands": {},
"flags": {
"--description": "value",
"--edge-availability-domain": [
"any",
"availability-domain-1",
"availability-domain-2"
],
"--enable-admin": "bool",
"--region": "dynamic",
"--router": "dynamic"
}
},
"update": {
"commands": {},
"flags": {
"--description": "value",
"--enable-admin": "bool",
"--region": "dynamic"
}
}
},
"flags": {}
}
},
"flags": {}
},
"create": {
"commands": {},
"flags": {
"--admin-enabled": "bool",
"--customer-name": "value",
"--description": "value",
"--interconnect-type": [
"DEDICATED",
"PARTNER"
],
"--link-type": [
"LINK_TYPE_ETHERNET_100G_LR",
"LINK_TYPE_ETHERNET_10G_LR"
],
"--location": "dynamic",
"--noc-contact-email": "value",
"--requested-link-count": "value"
}
},
"delete": {
"commands": {},
"flags": {}
},
"describe": {
"commands": {},
"flags": {}
},
"get-diagnostics": {
"commands": {},
"flags": {}
},
"list": {
"commands": {},
"flags": {
"--filter": "value",
"--limit": "value",
"--page-size": "value",
"--sort-by": "value",
"--uri": "bool"
}
},
"locations": {
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"flags": {}
},
"list": {
"commands": {},
"flags": {
"--filter": "value",
"--limit": "value",
"--page-size": "value",
"--sort-by": "value",
"--uri": "bool"
}
}
},
"flags": {}
},
"update": {
"commands": {},
"flags": {
"--admin-enabled": "bool",
"--description": "value",
"--noc-contact-email": "value",
"--requested-link-count": "value"
}
}
},
"flags": {}
},
"machine-types": {
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"commands": {},
"flags": {
"--zone": "dynamic"
}
},
"list": {
"commands": {},
"flags": {
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"--limit": "value",
"--page-size": "value",
"--regexp": "value",
"--sort-by": "value",
"--uri": "bool",
"--zones": "dynamic"
}
}
},
"flags": {}
},
"network-endpoint-groups": {
"commands": {
"create": {
"commands": {},
"flags": {
"--default-port": "value",
"--global": "bool",
"--network": "value",
"--network-endpoint-type": [
"gce-vm-ip-port",
"internet-fqdn-port",
"internet-ip-port"
],
"--subnet": "value",
"--zone": "dynamic"
}
},
"delete": {
"commands": {},
"flags": {
"--global": "bool",
"--zone": "dynamic"
}
},
"describe": {
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"flags": {
"--global": "bool",
"--zone": "dynamic"
}
},
"list": {
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"flags": {
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"--global": "bool",
"--limit": "value",
"--page-size": "value",
"--regexp": "value",
"--sort-by": "value",
"--uri": "bool",
"--zones": "value"
}
},
"list-network-endpoints": {
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"flags": {
"--filter": "value",
"--global": "bool",
"--limit": "value",
"--page-size": "value",
"--sort-by": "value",
"--zone": "dynamic"
}
},
"update": {
"commands": {},
"flags": {
"--add-endpoint": "value",
"--global": "bool",
"--remove-endpoint": "value",
"--zone": "dynamic"
}
}
},
"flags": {}
},
"networks": {
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}
},
"flags": {}
},
"run": {
"commands": {},
"flags": {
"--queue": "value"
}
}
},
"flags": {}
},
"topic": {
"commands": {
"accessibility": {
"commands": {},
"flags": {}
},
"arg-files": {
"commands": {},
"flags": {}
},
"cli-trees": {
"commands": {},
"flags": {}
},
"client-certificate": {
"commands": {},
"flags": {}
},
"command-conventions": {
"commands": {},
"flags": {}
},
"configurations": {
"commands": {},
"flags": {}
},
"datetimes": {
"commands": {},
"flags": {}
},
"escaping": {
"commands": {},
"flags": {}
},
"filters": {
"commands": {},
"flags": {}
},
"flags-file": {
"commands": {},
"flags": {}
},
"formats": {
"commands": {},
"flags": {}
},
"gcloudignore": {
"commands": {},
"flags": {}
},
"offline-help": {
"commands": {},
"flags": {}
},
"projections": {
"commands": {},
"flags": {}
},
"resource-keys": {
"commands": {},
"flags": {}
},
"startup": {
"commands": {},
"flags": {}
},
"uninstall": {
"commands": {},
"flags": {}
}
},
"flags": {}
},
"version": {
"commands": {},
"flags": {}
}
},
"flags": {
"--account": "value",
"--billing-project": "value",
"--configuration": "value",
"--flags-file": "value",
"--flatten": "value",
"--format": "value",
"--help": "bool",
"--impersonate-service-account": "value",
"--log-http": "bool",
"--project": "dynamic",
"--quiet": "bool",
"--trace-token": "value",
"--user-output-enabled": "bool",
"--verbosity": [
"critical",
"debug",
"error",
"info",
"none",
"warning"
],
"--version": "bool"
}
}
| [
"[email protected]"
] | |
3e1821a70e48e45f7d23a8a598e644fd55aa3267 | ffeacff13af906bf5e7a02018a2543902f5dc8ef | /01-Python核心编程/代码/04-数据序列/02-列表/hm_02_查找.py | 507751dc98470c528285216532fc445039e51cd8 | [
"MIT"
] | permissive | alikslee/Python-itheima-2019 | 457080ee83d0f5f7eaba426da0ea86405d2d5248 | 691035d5ff0e362139c7dbe82f730ec0e060fd2e | refs/heads/main | 2023-01-01T16:27:20.062463 | 2020-10-22T16:20:29 | 2020-10-22T16:20:29 | 305,959,901 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 229 | py | name_list = ['TOM', 'Lily', 'ROSE']
# 1. index()
# print(name_list.index('TOM'))
# print(name_list.index('TOMS'))
# 2. count()
# print(name_list.count('TOM'))
# print(name_list.count('TOMS'))
# 3.len()
print(len(name_list))
| [
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] | |
ceb2448af505fefb48dabe7e0516eaf2d46eb5a4 | a8769709aeb7299fa3757f0e7bba5c617eb8cfe3 | /lesson-3/k8s/lib/python2.7/site-packages/kubernetes/client/models/v1beta1_api_service_condition.py | d851edd6c77101268757fb7d42c4ef39c4686464 | [
"Apache-2.0"
] | permissive | simox-83/workshop-k8s | 2ac5e8b282bb7c3337acc726a7d972717bf649cc | 04cb18e8b5925a3cfd84ca316952a6cb64960b31 | refs/heads/master | 2020-03-31T20:52:21.421995 | 2018-10-11T14:43:08 | 2018-10-11T14:43:08 | 152,558,678 | 0 | 0 | Apache-2.0 | 2018-10-11T08:37:20 | 2018-10-11T08:37:20 | null | UTF-8 | Python | false | false | 6,769 | py | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)
OpenAPI spec version: v1.11.3
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class V1beta1APIServiceCondition(object):
"""
NOTE: This class is auto generated by the swagger code generator program.
Do not edit the class manually.
"""
"""
Attributes:
swagger_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.
"""
swagger_types = {
'last_transition_time': 'datetime',
'message': 'str',
'reason': 'str',
'status': 'str',
'type': 'str'
}
attribute_map = {
'last_transition_time': 'lastTransitionTime',
'message': 'message',
'reason': 'reason',
'status': 'status',
'type': 'type'
}
def __init__(self, last_transition_time=None, message=None, reason=None, status=None, type=None):
"""
V1beta1APIServiceCondition - a model defined in Swagger
"""
self._last_transition_time = None
self._message = None
self._reason = None
self._status = None
self._type = None
self.discriminator = None
if last_transition_time is not None:
self.last_transition_time = last_transition_time
if message is not None:
self.message = message
if reason is not None:
self.reason = reason
self.status = status
self.type = type
@property
def last_transition_time(self):
"""
Gets the last_transition_time of this V1beta1APIServiceCondition.
Last time the condition transitioned from one status to another.
:return: The last_transition_time of this V1beta1APIServiceCondition.
:rtype: datetime
"""
return self._last_transition_time
@last_transition_time.setter
def last_transition_time(self, last_transition_time):
"""
Sets the last_transition_time of this V1beta1APIServiceCondition.
Last time the condition transitioned from one status to another.
:param last_transition_time: The last_transition_time of this V1beta1APIServiceCondition.
:type: datetime
"""
self._last_transition_time = last_transition_time
@property
def message(self):
"""
Gets the message of this V1beta1APIServiceCondition.
Human-readable message indicating details about last transition.
:return: The message of this V1beta1APIServiceCondition.
:rtype: str
"""
return self._message
@message.setter
def message(self, message):
"""
Sets the message of this V1beta1APIServiceCondition.
Human-readable message indicating details about last transition.
:param message: The message of this V1beta1APIServiceCondition.
:type: str
"""
self._message = message
@property
def reason(self):
"""
Gets the reason of this V1beta1APIServiceCondition.
Unique, one-word, CamelCase reason for the condition's last transition.
:return: The reason of this V1beta1APIServiceCondition.
:rtype: str
"""
return self._reason
@reason.setter
def reason(self, reason):
"""
Sets the reason of this V1beta1APIServiceCondition.
Unique, one-word, CamelCase reason for the condition's last transition.
:param reason: The reason of this V1beta1APIServiceCondition.
:type: str
"""
self._reason = reason
@property
def status(self):
"""
Gets the status of this V1beta1APIServiceCondition.
Status is the status of the condition. Can be True, False, Unknown.
:return: The status of this V1beta1APIServiceCondition.
:rtype: str
"""
return self._status
@status.setter
def status(self, status):
"""
Sets the status of this V1beta1APIServiceCondition.
Status is the status of the condition. Can be True, False, Unknown.
:param status: The status of this V1beta1APIServiceCondition.
:type: str
"""
if status is None:
raise ValueError("Invalid value for `status`, must not be `None`")
self._status = status
@property
def type(self):
"""
Gets the type of this V1beta1APIServiceCondition.
Type is the type of the condition.
:return: The type of this V1beta1APIServiceCondition.
:rtype: str
"""
return self._type
@type.setter
def type(self, type):
"""
Sets the type of this V1beta1APIServiceCondition.
Type is the type of the condition.
:param type: The type of this V1beta1APIServiceCondition.
:type: str
"""
if type is None:
raise ValueError("Invalid value for `type`, must not be `None`")
self._type = type
def to_dict(self):
"""
Returns the model properties as a dict
"""
result = {}
for attr, _ in iteritems(self.swagger_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:
result[attr] = value
return result
def to_str(self):
"""
Returns the string representation of the model
"""
return pformat(self.to_dict())
def __repr__(self):
"""
For `print` and `pprint`
"""
return self.to_str()
def __eq__(self, other):
"""
Returns true if both objects are equal
"""
if not isinstance(other, V1beta1APIServiceCondition):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""
Returns true if both objects are not equal
"""
return not self == other
| [
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] | |
bf04013c6f0f8ddcd9f3d419707fd2261e896529 | 3fadf661bd3ad1cc530d9197f157b3a4255034b6 | /romani/migrations/0023_auto_20170107_2116.py | df7334c894a9469ccede7ea6d450e969024a0d15 | [] | no_license | wkov/labiadas | 69b1c69063edafe4f16467df53f58969c63db5c7 | bb32de63cbbea951a0df49bc0bf800caaca7fc35 | refs/heads/master | 2022-11-28T11:46:55.735429 | 2020-01-11T18:13:37 | 2020-01-11T18:13:37 | 84,640,857 | 0 | 1 | null | 2022-11-22T03:03:08 | 2017-03-11T10:09:42 | JavaScript | UTF-8 | Python | false | false | 520 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('romani', '0022_auto_20170107_2114'),
]
operations = [
migrations.RemoveField(
model_name='comanda',
name='data_fi',
),
migrations.AddField(
model_name='contracte',
name='data_fi',
field=models.DateTimeField(blank=True, null=True),
),
]
| [
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] | |
6a9e91b65c2d88c02d3a75ffe8f476040710e5f7 | a5020f97ac75e480e2ac386daf758df33289b8f9 | /manage.py | af14ecd321e4edfa57d8336d47993a5852b335af | [] | no_license | emakarov/ovarenik | c7adcbd4b771f3264168b2ae3c2438302a7ff520 | 466e55645da223163bd065939fcbac068f16a043 | refs/heads/master | 2020-04-11T09:54:25.310143 | 2014-06-22T22:46:36 | 2014-06-22T22:46:36 | 12,011,538 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 251 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "ovarenik.settings")
from django.core.management import execute_from_command_line
execute_from_command_line(sys.argv)
| [
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] | |
78e397b8a58f688d5430a680877377c3a2db36f3 | 73b5d880fa06943c20ff0a9aee9d0c1d1eeebe10 | /tinyos-1.x/contrib/t-mac/apps/taskthread.py | aaf638497ee5b76570d3204810ec2548a90fdc4e | [
"Intel"
] | permissive | x3ro/tinyos-legacy | 101d19f9e639f5a9d59d3edd4ed04b1f53221e63 | cdc0e7ba1cac505fcace33b974b2e0aca1ccc56a | refs/heads/master | 2021-01-16T19:20:21.744228 | 2015-06-30T20:23:05 | 2015-06-30T20:23:05 | 38,358,728 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 711 | py | import threading
class TaskThread(threading.Thread):
"""Thread that executes a task every N seconds"""
def __init__(self):
threading.Thread.__init__(self)
self._finished = threading.Event()
self._interval = 15.0
def setInterval(self, interval):
"""Set the number of seconds we sleep between executing our task"""
self._interval = interval
def shutdown(self):
"""Stop this thread"""
print "shutting down",self
self._finished.set()
def run(self):
while 1:
if self._finished.isSet(): return
self.task()
# sleep for interval or until shutdown
self._finished.wait(self._interval)
def task(self):
"""The task done by this thread - override in subclasses"""
pass
| [
"[email protected]"
] | |
9dfd42487ccf8e73d4d4d17ab1e7e7ba183ef477 | 9a6323fd69286f2ddce8a755612fb235a4b85956 | /cruzdb/sequence.py | 30e04e8a8cfcd79bf5f6b0eedf6e1ed94650416c | [
"MIT"
] | permissive | lardenoije/cruzdb-1 | 44b544ede144e11462b33967c6ce63cf7a7cecb0 | 7858dc4da7c2574751ccace41b3a525c11e629dc | refs/heads/master | 2022-12-14T13:06:37.660233 | 2020-08-27T11:55:14 | 2020-08-27T11:55:14 | 289,082,044 | 0 | 0 | MIT | 2020-08-20T18:37:47 | 2020-08-20T18:37:45 | null | UTF-8 | Python | false | false | 782 | py | import urllib as U
__all__ = ('sequence', )
def _seq_from_xml(xml):
start = xml.find(">", xml.find("<DNA")) + 1
end = xml.rfind("</DNA>")
return xml[start:end].replace(' ', '').replace('\n', '').strip()
def sequence(db, chrom, start, end):
"""
return the sequence for a region using the UCSC DAS
server. note the start is 1-based
each feature will have it's own .sequence method which sends
the correct start and end to this function.
>>> sequence('hg18', 'chr2', 2223, 2230)
'caacttag'
"""
url = "http://genome.ucsc.edu/cgi-bin/das/%s" % db
url += "/dna?segment=%s:%i,%i"
xml = U.urlopen(url % (chrom, start, end)).read()
return _seq_from_xml(xml)
if __name__ == "__main__":
import doctest
doctest.testmod()
| [
"[email protected]"
] | |
549cb424af0757bf36fd12680c9129b25d719bc8 | 1a95cda55573a6836ac631bc6e16ec312e07759b | /server.py | 494512434222bc9a674e78746f4547874003cbfc | [] | no_license | olajowon/dormer-web | b021c01694f72b31b8fc498811ec54da99786daa | d7a06a7c2be5ca6d34bedff26fbf70cd9e969ae8 | refs/heads/master | 2023-03-13T10:43:04.280104 | 2021-03-11T08:39:23 | 2021-03-11T08:39:23 | 320,578,280 | 3 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,451 | py | # Created by zhouwang on 2020/11/13.
import os
import sys
PROJECT_DIR = os.path.dirname(os.path.abspath(__file__))
VENV_DIR = os.path.join(PROJECT_DIR, 'venv')
def start():
print('#### start\n')
os.system(f'rm -rf {PROJECT_DIR}/static && \cp -rf {PROJECT_DIR}/ui/dist/static {PROJECT_DIR}/static')
os.system(f'\cp -rf {PROJECT_DIR}/ui/dist/index.html {PROJECT_DIR}/templates/index.html')
os.system(f'source {VENV_DIR}/bin/activate && '
f'pip install -r {PROJECT_DIR}/requirements.txt')
status = os.system(f'source {VENV_DIR}/bin/activate && cd {PROJECT_DIR} &&'
f'uwsgi --ini {PROJECT_DIR}/uwsgi_socket.ini')
print('#### start %s\n' % ('successful' if status == 0 else 'fail'))
def restart():
print('#### restart\n')
os.system(f'rm -rf {PROJECT_DIR}/static && \cp -rf {PROJECT_DIR}/ui/dist/static {PROJECT_DIR}/static')
os.system(f'\cp -rf {PROJECT_DIR}/ui/dist/index.html {PROJECT_DIR}/templates/index.html')
os.system(f'source {VENV_DIR}/bin/activate && '
f'pip install -r {PROJECT_DIR}/requirements.txt')
status = os.system(f'source {VENV_DIR}/bin/activate && uwsgi --reload /var/run/dormer-web-uwsgi.pid')
print('#### restart %s\n' % ('successful' if status == 0 else 'fail'))
def stop():
print('#### stop\n')
status = os.system(f'source {VENV_DIR}/bin/activate && uwsgi --stop /var/run/dormer-web-uwsgi.pid')
print('#### stop %s\n' % ('successful' if status == 0 else 'fail'))
def build():
print('#### build\n')
status = os.system(f'cd {PROJECT_DIR}/ui && npm install && npm run build')
print('#### build %s\n' % ('successful' if status == 0 else 'fail'))
def migrate():
print('#### migrate\n')
status = os.system(f'source {VENV_DIR}/bin/activate && python {PROJECT_DIR}/manage.py migrate')
print('#### migrate %s\n' % ('successful' if status == 0 else 'fail'))
def venv():
if not os.path.isdir(VENV_DIR):
status = os.system(f'cd {PROJECT_DIR} && python3 -m venv venv')
print('#### venv %s\n' % ('successful' if status == 0 else 'fail'))
def init():
venv()
def main():
init()
argv = sys.argv
if argv[1] == 'start':
start()
elif argv[1] == 'stop':
stop()
elif argv[1] == 'restart':
restart()
elif argv[1] == 'build':
build()
elif argv[1] == 'migrate':
migrate()
if __name__ == '__main__':
main()
| [
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] | |
e78a3b00445a74f43bada0cdbef0f2f5aeff4fcd | 9eb972f4623e6eb424238dd747ea0a480efd0e8a | /futura_ui/app/ui/dialogs/transfer_production.py | 012029c15e6f9aad783b6cb7d84ef193cf8d2005 | [
"BSD-3-Clause"
] | permissive | pjamesjoyce/futura | 727136dedeebed7fbf464612192f0472c31d1f6d | c0f129b4964f2b01a2853828b83d57ed53eabcb8 | refs/heads/master | 2023-04-13T02:09:03.476138 | 2023-03-16T10:32:50 | 2023-03-16T10:32:50 | 218,276,474 | 9 | 2 | BSD-3-Clause | 2020-01-15T10:05:07 | 2019-10-29T11:59:27 | Python | UTF-8 | Python | false | false | 1,163 | py | from PySide2 import QtWidgets, QtGui
from ..utils import load_ui_file
import os
class TransferProductionDialog(QtWidgets.QDialog):
def __init__(self, parent=None):
super(TransferProductionDialog, self).__init__(parent)
ui_path = 'transfer_production.ui'
ui_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), ui_path)
load_ui_file(ui_path, self)
validator = QtGui.QDoubleValidator()
validator.setDecimals(0)
self.newValueLineEdit.setValidator(validator)
self.transferLabel.setText('Percentage:')
self.newValueLineEdit.setInputMask("009%")
self.percentageRadioButton.clicked.connect(self.radio_button_change)
self.amountRadioButton.clicked.connect(self.radio_button_change)
def radio_button_change(self):
if self.percentageRadioButton.isChecked():
self.transferLabel.setText('Percentage:')
self.newValueLineEdit.setInputMask("009%")
elif self.amountRadioButton.isChecked():
self.transferLabel.setText('Amount:')
self.newValueLineEdit.setInputMask(None)
print('Amount')
| [
"[email protected]"
] | |
214cffef313952a222cba262570dd66683aed317 | b424a13f032d5a607e6df4dd78bc47ad1d06a147 | /scipy/integrate/tests/test_integrate.py | dbfd7b670fcccfdfb768c789b5b1e0a794bbe1da | [] | no_license | EnjoyLifeFund/macSierra-py36-pkgs | 1e7eeb9b55415da6eb12465d67730d76e9cc619a | 0ac677fbbfa7b6d8c527fe2c759ba05117b07fd2 | refs/heads/master | 2021-01-20T10:23:50.044019 | 2017-09-05T02:53:26 | 2017-09-05T02:53:26 | 90,333,987 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 107 | py | ../../../../../../Cellar/scipy/0.19.1_1/lib/python3.6/site-packages/scipy/integrate/tests/test_integrate.py | [
"[email protected]"
] | |
6d04867690361f9c47fb28ebc97f304c557ec557 | ff6248be9573caec94bea0fa2b1e4b6bf0aa682b | /output/StudentProblem/10.21.9.62/1/1569576134.py | 10eaa60b5f53e410b34cd127f6fbef1654f01b12 | [] | no_license | LennartElbe/codeEvo | 0e41b1a7705204e934ef71a5a28c047366c10f71 | e89b329bc9edd37d5d9986f07ca8a63d50686882 | refs/heads/master | 2020-12-21T17:28:25.150352 | 2020-03-26T10:22:35 | 2020-03-26T10:22:35 | 236,498,032 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,671 | py | ============================= test session starts ==============================
platform darwin -- Python 3.7.4, pytest-5.4.1, py-1.8.1, pluggy-0.13.1
rootdir: /tmp
collected 0 items / 1 error
==================================== ERRORS ====================================
________________________ ERROR collecting test session _________________________
../../../Library/Python/3.7/lib/python/site-packages/_pytest/python.py:513: in _importtestmodule
mod = self.fspath.pyimport(ensuresyspath=importmode)
../../../Library/Python/3.7/lib/python/site-packages/py/_path/local.py:701: in pyimport
__import__(modname)
<frozen importlib._bootstrap>:983: in _find_and_load
???
<frozen importlib._bootstrap>:967: in _find_and_load_unlocked
???
<frozen importlib._bootstrap>:677: in _load_unlocked
???
../../../Library/Python/3.7/lib/python/site-packages/_pytest/assertion/rewrite.py:143: in exec_module
source_stat, co = _rewrite_test(fn, self.config)
../../../Library/Python/3.7/lib/python/site-packages/_pytest/assertion/rewrite.py:328: in _rewrite_test
tree = ast.parse(source, filename=fn)
/usr/local/Cellar/python/3.7.4_1/Frameworks/Python.framework/Versions/3.7/lib/python3.7/ast.py:35: in parse
return compile(source, filename, mode, PyCF_ONLY_AST)
E File "/private/tmp/blabla.py", line 17
E elif x is ""_
E ^
E SyntaxError: invalid syntax
=========================== short test summary info ============================
ERROR ../../../../../tmp
!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!
=============================== 1 error in 0.17s ===============================
| [
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] | |
6f7c62cb236795bd7f112d1fae1ae534b8839097 | a7ea1fa36385301db3c8abdf2281916f09006a2a | /057.py | e1348e00e7c99c5286e46d67667aa931c9422298 | [] | no_license | sanand0/euler | a3995c155e32dd8415cf31a1558674f9f0f8e425 | 6ae583d94f968e27102fa5bb7216bb0645dcc42c | refs/heads/master | 2020-05-07T09:31:50.356639 | 2017-08-05T04:43:23 | 2017-08-05T04:43:23 | 1,225,954 | 9 | 0 | null | null | null | null | UTF-8 | Python | false | false | 887 | py | '''
It is possible to show that the square root of two can be expressed as an infinite continued fraction.
sqrt(2) = 1 + 1/(2 + 1/(2 + 1/(2 + ... ))) = 1.414213...
By expanding this for the first four iterations, we get:
1 + 1/2 = 3/2 = 1.5
1 + 1/(2 + 1/2) = 7/5 = 1.4
1 + 1/(2 + 1/(2 + 1/2)) = 17/12 = 1.41666...
1 + 1/(2 + 1/(2 + 1/(2 + 1/2))) = 41/29 = 1.41379...
The next three expansions are 99/70, 239/169, and 577/408, but the eighth expansion, 1393/985, is the first example where the number of digits in the numerator exceeds the number of digits in the denominator.
In the first one-thousand expansions, how many fractions contain a numerator with more digits than denominator?
'''
num, den, count = 3, 2, 0
for iter in xrange(0, 1000):
num, den = num + den + den, num + den
if len(str(num)) > len(str(den)):
count += 1
print count
| [
"[email protected]"
] | |
5e7b99cc19ea8b6717e0e650adb3a97b3ef95fb0 | 6e932aa6ec9424ae0238c559112fdd0214c52be6 | /ffawp/ch03/9_excel_value_meets_condition_all_worksheets.py | 381e78707679567f29dfa8a3629e04d9d439b903 | [] | no_license | LingChenBill/python_first_introduce | d1c780dcd3653ef4cda39cc4a0c631a99071f088 | 32ff4a16fe10505fcb49e4762fc573f5f1c62167 | refs/heads/master | 2020-07-29T13:03:15.447728 | 2020-06-09T13:39:07 | 2020-06-09T13:39:07 | 209,813,590 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,202 | py | # Date:2020/5/25
# Author:Lingchen
# Mark: 要使用基础Python在所有工作表中筛选出销售额大于$2000.00的所有行
# python 9_excel_value_meets_condition_all_worksheets.py data/sales_2013.xlsx data/output/9_output.xlsx
import sys
from datetime import date
from xlrd import open_workbook, xldate_as_tuple
from xlwt import Workbook
input_file = sys.argv[1]
output_file = sys.argv[2]
output_workbook = Workbook()
output_worksheet = output_workbook.add_sheet('filtered_rows_all_worksheets')
# 销售额列索引
sales_column_index = 3
# 销售额阈值
threshold = 2000.0
# 第一个工作表Flg
first_worksheet = True
with open_workbook(input_file) as workbook:
# 汇总数据列表
data = []
for worksheet in workbook.sheets():
# 只在第一个sheet中处理标题行
if first_worksheet:
header_row = worksheet.row_values(0)
data.append(header_row)
first_worksheet = False
# 处理标题行以外的数据行
for row_index in range(1, worksheet.nrows):
# 循环列数据列表
row_list = []
sale_amount = worksheet.cell_value(row_index, sales_column_index)
# 筛选销售额处理
if sale_amount > threshold:
for column_index in range(worksheet.ncols):
cell_value = worksheet.cell_value(row_index, column_index)
cell_type = worksheet.cell_type(row_index, column_index)
# 处理日期列
if cell_type == 3:
date_cell = xldate_as_tuple(cell_value, workbook.datemode)
date_cell = date(*date_cell[0:3]).strftime('%m/%d/%Y')
row_list.append(date_cell)
else:
row_list.append(cell_value)
if row_list:
data.append(row_list)
# 将所有符合条件的数据写入新的excel中
for list_index, output_list in enumerate(data):
for element_index, element in enumerate(output_list):
output_worksheet.write(list_index, element_index, element)
output_workbook.save(output_file)
| [
"[email protected]"
] | |
b4e8c6cb0792e24ed9f5af9691b4122d19f58c30 | 923a14dd594191d77e30465027ece8371f28a7a6 | /web-serpng/code/serpng/resume/jbb_models.py | 7959db7ad4c4f889f70568473d152808c93a3e96 | [] | no_license | alyago/django-web | 3af7b3389df59104eaf5e50ed9cc2c3e730fed7f | da3073eec6d676dfe0164502b80d2a1c75e89575 | refs/heads/master | 2021-01-10T19:33:45.425520 | 2013-11-21T09:43:37 | 2013-11-21T09:43:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 38,038 | py | # This is an auto-generated Django model module.
# You'll have to do the following manually to clean this up:
# * Rearrange models' order
# * Make sure each model has one field with primary_key=True
# Feel free to rename the models, but don't rename db_table values or field names.
#
# Also note: You'll have to insert the output of 'django-admin.py sqlcustom [appname]'
# into your database.
# TODO: Add primary_key for the rest of the models.
import django.db.models.options as options
from django.db import models
options.DEFAULT_NAMES = options.DEFAULT_NAMES + ('in_db',)
class Accounts(models.Model):
accountid = models.IntegerField(primary_key=True, db_column='accountId') # Field name made lowercase.
type = models.IntegerField()
created = models.DateTimeField()
class Meta:
db_table = u'accounts'
in_db = 'jbb'
class OrgAccounts(models.Model):
orgactid = models.IntegerField(primary_key=True, db_column='orgactId') # Field name made lowercase.
orgid = models.ForeignKey('Organizations', db_column='orgId') # Field name made lowercase.
accountid = models.ForeignKey(Accounts, db_column='accountId') # Field name made lowercase.
orderno = models.IntegerField()
updated = models.DateTimeField()
class Meta:
db_table = u'org_accounts'
in_db = 'jbb'
class OrgDomains(models.Model):
domainid = models.IntegerField(primary_key=True, db_column='domainId') # Field name made lowercase.
orgid = models.ForeignKey(Accounts, db_column='orgId') # Field name made lowercase.
domain_type = models.IntegerField()
domain_name = models.CharField(max_length=384)
updatedid = models.ForeignKey(OrgAccounts, db_column='updatedId') # Field name made lowercase.
updated = models.DateTimeField()
class Meta:
db_table = u'org_domains'
in_db = 'jbb'
class Organizations(models.Model):
orgid = models.ForeignKey(Accounts, primary_key=True, db_column='orgId') # Field name made lowercase.
orgname = models.CharField(max_length=144, db_column='orgName') # Field name made lowercase.
default_domainid = models.ForeignKey(OrgDomains, null=True, db_column='default_domainId', blank=True) # Field name made lowercase.
default_hostid = models.ForeignKey(OrgDomains, null=True, db_column='default_hostId', blank=True) # Field name made lowercase.
updatedid = models.ForeignKey(OrgAccounts, db_column='updatedId') # Field name made lowercase.
updated = models.DateTimeField()
main_site_url = models.CharField(max_length=384, blank=True)
class Meta:
db_table = u'organizations'
in_db = 'jbb'
class Jobs(models.Model):
jobid = models.IntegerField(primary_key=True, db_column='jobId') # Field name made lowercase.
cat_orgid = models.ForeignKey(Organizations, null=True, db_column='cat_orgId', blank=True) # Field name made lowercase.
cat_type = models.IntegerField()
cat_loc_country = models.CharField(max_length=6)
cat_loc_state = models.IntegerField()
cat_loc_county = models.IntegerField()
cat_loc_city = models.IntegerField()
cat_occ_top = models.IntegerField()
cat_occ_sub = models.CharField(max_length=21)
cat_industry = models.CharField(max_length=18)
job_title = models.CharField(max_length=192)
job_company = models.CharField(max_length=144)
job_company_url = models.CharField(max_length=384)
job_street = models.CharField(max_length=192)
job_intl_location = models.CharField(max_length=384)
job_zip = models.CharField(max_length=48)
job_salary = models.CharField(max_length=72)
job_apply_email = models.CharField(max_length=384)
job_apply_web = models.TextField()
job_description = models.TextField()
updatedid = models.ForeignKey(OrgAccounts, db_column='updatedId') # Field name made lowercase.
updated = models.DateTimeField()
job_url = models.CharField(max_length=384)
class Meta:
db_table = u'jobs'
in_db = 'jbb'
class Packages(models.Model):
packageid = models.IntegerField(primary_key=True, db_column='packageId') # Field name made lowercase.
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
type = models.IntegerField()
currency_code = models.CharField(max_length=9)
price = models.DecimalField(max_digits=17, decimal_places=5)
name = models.CharField(max_length=192)
description = models.CharField(max_length=765)
createdid = models.ForeignKey(OrgAccounts, db_column='createdId') # Field name made lowercase.
created = models.DateTimeField()
created_by = models.CharField(max_length=192)
code = models.CharField(max_length=192)
expiration_date = models.DateTimeField()
reach_type = models.CharField(max_length=765)
discount_type = models.CharField(max_length=192)
post_limit = models.IntegerField()
class Meta:
db_table = u'packages'
in_db = 'jbb'
class Invoices(models.Model):
invoiceid = models.IntegerField(primary_key=True, db_column='invoiceId') # Field name made lowercase.
accountid = models.ForeignKey(Accounts, db_column='accountId') # Field name made lowercase.
account_proxy_id = models.IntegerField()
packageid = models.ForeignKey(Packages, db_column='packageId') # Field name made lowercase.
pkg_jobpost_id = models.IntegerField()
payment_method = models.IntegerField()
payment_code = models.CharField(max_length=9)
payment_amount = models.DecimalField(max_digits=17, decimal_places=5)
payment_usdrate = models.DecimalField(max_digits=12, decimal_places=4)
startedid = models.ForeignKey(OrgAccounts, db_column='startedId') # Field name made lowercase.
started = models.DateTimeField()
class Meta:
db_table = u'invoices'
in_db = 'jbb'
class AccountContacts(models.Model):
contactid = models.IntegerField(primary_key=True, db_column='contactId') # Field name made lowercase.
ownerid = models.ForeignKey(Accounts, db_column='ownerId') # Field name made lowercase.
companyname = models.CharField(max_length=144, db_column='companyName') # Field name made lowercase.
companytitle = models.CharField(max_length=144, db_column='companyTitle') # Field name made lowercase.
firstname = models.CharField(max_length=144, db_column='firstName') # Field name made lowercase.
lastname = models.CharField(max_length=144, db_column='lastName') # Field name made lowercase.
description = models.CharField(max_length=765)
email = models.CharField(max_length=384)
phone = models.CharField(max_length=72)
locationname = models.CharField(max_length=144, db_column='locationName') # Field name made lowercase.
street = models.CharField(max_length=192)
city = models.CharField(max_length=192)
state = models.CharField(max_length=192)
zip = models.CharField(max_length=48)
country = models.CharField(max_length=192)
updatedid = models.ForeignKey(OrgAccounts, db_column='updatedId') # Field name made lowercase.
updated = models.DateTimeField()
class Meta:
db_table = u'account_contacts'
in_db = 'jbb'
class AccountFiles(models.Model):
fileid = models.IntegerField(primary_key=True, db_column='fileId') # Field name made lowercase.
ownerid = models.IntegerField(db_column='ownerId') # Field name made lowercase.
status = models.IntegerField()
size = models.IntegerField()
name = models.CharField(max_length=384)
type = models.CharField(max_length=192)
data = models.TextField(blank=True)
uploaded = models.DateTimeField()
class Meta:
db_table = u'account_files'
in_db = 'jbb'
class AccountStatus(models.Model):
accountid = models.ForeignKey(Accounts, db_column='accountId') # Field name made lowercase.
status = models.IntegerField()
updatedid = models.ForeignKey(OrgAccounts, db_column='updatedId') # Field name made lowercase.
updated = models.DateTimeField()
class Meta:
db_table = u'account_status'
in_db = 'jbb'
class CatLocationsEnUs(models.Model):
country_code = models.CharField(unique=True, max_length=6)
state_code = models.IntegerField(unique=True)
county_code = models.IntegerField(unique=True)
city_code = models.IntegerField(unique=True)
country_name = models.CharField(max_length=192)
country_abbr = models.CharField(max_length=48)
state_name = models.CharField(max_length=192)
state_abbr = models.CharField(max_length=6)
county_name = models.CharField(max_length=192)
city_name = models.CharField(max_length=192)
class Meta:
db_table = u'cat_locations_en_us'
in_db = 'jbb'
class CatOccupationsEnUs(models.Model):
occupationid = models.IntegerField(primary_key=True, db_column='occupationId') # Field name made lowercase.
name = models.CharField(unique=True, max_length=192)
abbr = models.CharField(max_length=48)
description = models.CharField(max_length=765)
class Meta:
db_table = u'cat_occupations_en_us'
in_db = 'jbb'
class CatRegionsEnUs(models.Model):
regionid = models.IntegerField(primary_key=True, db_column='regionId') # Field name made lowercase.
name = models.CharField(max_length=192)
abbr = models.CharField(max_length=48)
description = models.CharField(max_length=765)
class Meta:
db_table = u'cat_regions_en_us'
in_db = 'jbb'
class CatRegionsGeocoded(models.Model):
region_id = models.IntegerField()
state = models.CharField(max_length=192, blank=True)
min_latitude = models.DecimalField(max_digits=13, decimal_places=6)
max_latitude = models.DecimalField(max_digits=13, decimal_places=6)
min_longitude = models.DecimalField(max_digits=13, decimal_places=6)
max_longitude = models.DecimalField(max_digits=13, decimal_places=6)
class Meta:
db_table = u'cat_regions_geocoded'
in_db = 'jbb'
class CatRegionsGeocodedCities(models.Model):
region_id = models.IntegerField()
city = models.CharField(max_length=192, blank=True)
state = models.CharField(max_length=192, blank=True)
class Meta:
db_table = u'cat_regions_geocoded_cities'
in_db = 'jbb'
class CatRegionsHierarchy(models.Model):
regionid = models.ForeignKey(CatRegionsEnUs, db_column='regionId') # Field name made lowercase.
parentid = models.ForeignKey(CatRegionsEnUs, null=True, db_column='parentId', blank=True) # Field name made lowercase.
lft = models.IntegerField()
rgt = models.IntegerField()
class Meta:
db_table = u'cat_regions_hierarchy'
in_db = 'jbb'
class Feedburner(models.Model):
orgid = models.IntegerField(primary_key=True, db_column='orgId') # Field name made lowercase.
feedid = models.IntegerField(null=True, db_column='feedId', blank=True) # Field name made lowercase.
feeduri = models.CharField(max_length=765, db_column='feedUri', blank=True) # Field name made lowercase.
feedtitle = models.CharField(max_length=765, db_column='feedTitle', blank=True) # Field name made lowercase.
feedurl = models.CharField(max_length=765, db_column='feedUrl', blank=True) # Field name made lowercase.
feedburnerurl = models.CharField(max_length=765, db_column='feedburnerUrl', blank=True) # Field name made lowercase.
updated = models.DateTimeField(null=True, blank=True)
class Meta:
db_table = u'feedburner'
in_db = 'jbb'
class FipsCountriesEnUs(models.Model):
code = models.CharField(max_length=6, primary_key=True)
short_display = models.CharField(max_length=384)
long_display = models.CharField(max_length=384)
class Meta:
db_table = u'fips_countries_en_us'
in_db = 'jbb'
class InvoiceReceiptsSecure(models.Model):
invoiceid = models.IntegerField(primary_key=True, db_column='invoiceId') # Field name made lowercase.
jobpostid = models.IntegerField(db_column='jobpostId') # Field name made lowercase.
job_post_date = models.DateTimeField()
job_title = models.CharField(max_length=192)
job_company = models.CharField(max_length=144)
job_location = models.CharField(max_length=765)
post_enddate = models.DateTimeField()
token = models.CharField(max_length=60)
job_board_id = models.IntegerField()
job_board_name = models.CharField(max_length=765)
transaction_id = models.CharField(max_length=384)
poster_org_id = models.IntegerField()
poster_first_name = models.CharField(max_length=765)
poster_last_name = models.CharField(max_length=765)
poster_email = models.CharField(max_length=384)
poster_phone = models.CharField(max_length=72)
billing_first_name = models.CharField(max_length=765)
billing_last_name = models.CharField(max_length=765)
billing_address1 = models.CharField(max_length=765)
billing_address2 = models.CharField(max_length=765)
billing_city = models.CharField(max_length=765)
billing_state = models.CharField(max_length=765)
billing_zip = models.CharField(max_length=765)
billing_phone = models.CharField(max_length=765)
billing_card_type = models.CharField(max_length=60, blank=True)
billing_card_last_4_digits = models.CharField(max_length=12, blank=True)
transaction_type = models.IntegerField()
original_post_price = models.DecimalField(null=True, max_digits=17, decimal_places=5, blank=True)
discount_id = models.IntegerField(null=True, blank=True)
discount_name = models.CharField(max_length=192, blank=True)
discount_code = models.CharField(max_length=192, blank=True)
discount_amount = models.DecimalField(null=True, max_digits=17, decimal_places=5, blank=True)
package_id = models.IntegerField(null=True, blank=True)
package_name = models.CharField(max_length=192, blank=True)
package_code = models.CharField(max_length=192, blank=True)
package_price = models.DecimalField(null=True, max_digits=17, decimal_places=5, blank=True)
package_job_number = models.IntegerField(null=True, blank=True)
package_job_total = models.IntegerField(null=True, blank=True)
final_price = models.DecimalField(null=True, max_digits=17, decimal_places=5, blank=True)
currency_code = models.CharField(max_length=9)
payment_test_mode = models.IntegerField()
receipt_recipient_email = models.CharField(max_length=384, blank=True)
class Meta:
db_table = u'invoice_receipts_secure'
in_db = 'jbb'
class InvoiceState(models.Model):
invoiceid = models.ForeignKey(Invoices, db_column='invoiceId') # Field name made lowercase.
state = models.IntegerField()
updatedid = models.ForeignKey(OrgAccounts, db_column='updatedId') # Field name made lowercase.
updated = models.DateTimeField()
class Meta:
db_table = u'invoice_state'
in_db = 'jbb'
class JbbUserSmbAccount(models.Model):
jbbusersmbaccount_id = models.IntegerField(primary_key=True)
user_email = models.CharField(max_length=762)
has_smb_account = models.IntegerField(null=True, blank=True)
has_smb_career_site = models.IntegerField(null=True, blank=True)
created = models.DateTimeField()
updated = models.DateTimeField()
class Meta:
db_table = u'jbb_user_smb_account'
in_db = 'jbb'
class JobAcls(models.Model):
token = models.CharField(max_length=60, primary_key=True)
accountid = models.ForeignKey(Accounts, db_column='accountId') # Field name made lowercase.
jobid = models.ForeignKey(Jobs, db_column='jobId') # Field name made lowercase.
access = models.IntegerField()
modifiedid = models.ForeignKey(OrgAccounts, db_column='modifiedId') # Field name made lowercase.
modified = models.DateTimeField()
class Meta:
db_table = u'job_acls'
in_db = 'jbb'
class PkgJobposts(models.Model):
pkg_jobpost_id = models.IntegerField(primary_key=True)
packageid = models.ForeignKey(Packages, db_column='packageId') # Field name made lowercase.
post_price = models.DecimalField(max_digits=17, decimal_places=5)
post_currency_code = models.CharField(max_length=9)
post_quantity = models.IntegerField()
post_duration = models.IntegerField()
post_siteid = models.ForeignKey(Organizations, db_column='post_siteId') # Field name made lowercase.
post_network = models.IntegerField()
class Meta:
db_table = u'pkg_jobposts'
in_db = 'jbb'
class JobPosts(models.Model):
jobpostid = models.IntegerField(primary_key=True, db_column='jobpostId') # Field name made lowercase.
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
jobid = models.ForeignKey(Jobs, db_column='jobId') # Field name made lowercase.
packageid = models.ForeignKey(PkgJobposts, db_column='packageId') # Field name made lowercase.
contactid = models.ForeignKey(AccountContacts, null=True, db_column='contactId', blank=True) # Field name made lowercase.
post_siteid = models.ForeignKey(Organizations, null=True, db_column='post_siteId', blank=True) # Field name made lowercase.
post_network = models.IntegerField()
post_state = models.IntegerField()
post_enddate = models.DateTimeField()
custom_catlocid = models.ForeignKey(CatRegionsEnUs, null=True, db_column='custom_catlocId', blank=True) # Field name made lowercase.
custom_catoccid = models.ForeignKey(CatOccupationsEnUs, null=True, db_column='custom_catoccId', blank=True) # Field name made lowercase.
revisedid = models.ForeignKey(OrgAccounts, db_column='revisedId') # Field name made lowercase.
revised = models.DateTimeField()
createdid = models.ForeignKey(OrgAccounts, db_column='createdId') # Field name made lowercase.
created = models.DateTimeField()
class Meta:
db_table = u'job_posts'
in_db = 'jbb'
class JobApplicants(models.Model):
jobactid = models.IntegerField(primary_key=True, db_column='jobactId') # Field name made lowercase.
jobpostid = models.ForeignKey(JobPosts, db_column='jobpostId') # Field name made lowercase.
accountid = models.ForeignKey(Accounts, db_column='accountId') # Field name made lowercase.
app_name = models.CharField(max_length=192)
app_subject = models.CharField(max_length=192)
app_coverletter = models.TextField()
app_resumeid = models.IntegerField(null=True, db_column='app_resumeId', blank=True) # Field name made lowercase.
app_date = models.DateTimeField()
class Meta:
db_table = u'job_applicants'
in_db = 'jbb'
class JobLogo(models.Model):
jobid = models.IntegerField(primary_key=True, db_column='jobId') # Field name made lowercase.
logo_fileid = models.IntegerField(null=True, db_column='logo_fileId', blank=True) # Field name made lowercase.
logo_aspect = models.IntegerField(null=True, blank=True)
class Meta:
db_table = u'job_logo'
in_db = 'jbb'
class JobPostApproval(models.Model):
jobpostid = models.ForeignKey(JobPosts, db_column='jobpostId') # Field name made lowercase.
approval = models.IntegerField(primary_key=True)
reason = models.CharField(max_length=765)
approvedid = models.ForeignKey(OrgAccounts, db_column='approvedId') # Field name made lowercase.
approved = models.DateTimeField()
class Meta:
db_table = u'job_post_approval'
in_db = 'jbb'
class JobPostMetrics(models.Model):
jobpostid = models.ForeignKey(JobPosts, db_column='jobpostId') # Field name made lowercase.
count_view = models.IntegerField()
count_apply_email = models.IntegerField()
count_apply_web = models.IntegerField()
adjusted = models.DateTimeField()
class Meta:
db_table = u'job_post_metrics'
in_db = 'jbb'
class Network(models.Model):
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
parentid = models.ForeignKey(Organizations, null=True, db_column='parentId', blank=True) # Field name made lowercase.
lft = models.IntegerField()
rgt = models.IntegerField()
class Meta:
db_table = u'network'
in_db = 'jbb'
class OrgAccountInfo(models.Model):
orgactid = models.ForeignKey(OrgAccounts, db_column='orgactId') # Field name made lowercase.
active = models.IntegerField()
contactid = models.ForeignKey(AccountContacts, null=True, db_column='contactId', blank=True) # Field name made lowercase.
updatedid = models.ForeignKey(OrgAccounts, db_column='updatedId') # Field name made lowercase.
updated = models.DateTimeField()
class Meta:
db_table = u'org_account_info'
in_db = 'jbb'
class OrgAccountRoles(models.Model):
orgactid = models.ForeignKey(OrgAccounts, db_column='orgactId') # Field name made lowercase.
role = models.IntegerField(unique=True)
valid = models.IntegerField()
updatedid = models.ForeignKey(OrgAccounts, db_column='updatedId') # Field name made lowercase.
updated = models.DateTimeField()
class Meta:
db_table = u'org_account_roles'
in_db = 'jbb'
class OrgBalanceSecure(models.Model):
orgbalancesecure_id = models.IntegerField(primary_key=True)
timestamp = models.DateTimeField()
class Meta:
db_table = u'org_balance_secure'
in_db = 'jbb'
class OrgBalanceDetailsSecure(models.Model):
org_balance = models.ForeignKey(OrgBalanceSecure)
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
org_name = models.CharField(max_length=765)
org_domain = models.CharField(max_length=384)
post_balance = models.DecimalField(max_digits=17, decimal_places=5)
ad_balance = models.DecimalField(max_digits=17, decimal_places=5)
currency_code = models.CharField(max_length=30)
last_post_payout = models.DateTimeField()
last_ad_payout = models.DateTimeField()
last_payment_date = models.DateTimeField()
class Meta:
db_table = u'org_balance_details_secure'
in_db = 'jbb'
class OrgBranding(models.Model):
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
logo_fileid = models.IntegerField(null=True, db_column='logo_fileId', blank=True) # Field name made lowercase.
theme = models.IntegerField()
theme_attributes = models.TextField()
custom_header = models.TextField()
custom_footer = models.TextField()
custom_page_properties = models.TextField()
updatedid = models.ForeignKey(OrgAccounts, db_column='updatedId') # Field name made lowercase.
updated = models.DateTimeField()
class Meta:
db_table = u'org_branding'
in_db = 'jbb'
class OrgBrandingLinks(models.Model):
linkid = models.IntegerField(primary_key=True, db_column='linkId') # Field name made lowercase.
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
type = models.IntegerField()
link_order = models.IntegerField()
link_text = models.CharField(max_length=192)
link_url = models.CharField(max_length=384)
class Meta:
db_table = u'org_branding_links'
in_db = 'jbb'
class OrgCatIndustries(models.Model):
orgindid = models.IntegerField(primary_key=True, db_column='orgindId') # Field name made lowercase.
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
industry_code = models.CharField(max_length=18)
class Meta:
db_table = u'org_cat_industries'
in_db = 'jbb'
class OrgCatIndustriesEnUs(models.Model):
orgindid = models.ForeignKey(OrgCatIndustries, db_column='orgindId') # Field name made lowercase.
name = models.CharField(max_length=765, blank=True)
class Meta:
db_table = u'org_cat_industries_en_us'
in_db = 'jbb'
class OrgCatJobtypes(models.Model):
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
type_mask = models.IntegerField()
class Meta:
db_table = u'org_cat_jobtypes'
in_db = 'jbb'
class OrgCatOccupations(models.Model):
orgoccid = models.IntegerField(primary_key=True, db_column='orgoccId') # Field name made lowercase.
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
occupationid = models.ForeignKey(CatOccupationsEnUs, db_column='occupationId') # Field name made lowercase.
top_code = models.IntegerField()
sub_code = models.CharField(max_length=21)
class Meta:
db_table = u'org_cat_occupations'
in_db = 'jbb'
class OrgCatRegions(models.Model):
orgregid = models.IntegerField(primary_key=True, db_column='orgregId') # Field name made lowercase.
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
regionid = models.ForeignKey(CatRegionsEnUs, db_column='regionId') # Field name made lowercase.
class Meta:
db_table = u'org_cat_regions'
in_db = 'jbb'
class OrgPackages(models.Model):
orgpkgid = models.IntegerField(primary_key=True, db_column='orgpkgId') # Field name made lowercase.
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
packageid = models.ForeignKey(Packages, db_column='packageId') # Field name made lowercase.
avail_orgid = models.ForeignKey(Organizations, db_column='avail_orgId') # Field name made lowercase.
updatedid = models.ForeignKey(OrgAccounts, db_column='updatedId') # Field name made lowercase.
updated = models.DateTimeField()
class Meta:
db_table = u'org_packages'
in_db = 'jbb'
class OrgPublisherInfo(models.Model):
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
publisher_id = models.IntegerField(null=True, blank=True)
preference_listing = models.IntegerField()
premium_cap = models.IntegerField()
organic_cap = models.IntegerField()
overall_cap = models.IntegerField()
display_quantity = models.IntegerField()
backfill_preference = models.IntegerField()
search_location = models.CharField(max_length=765)
search_keyword_all = models.CharField(max_length=765)
search_keyword_exact = models.CharField(max_length=765)
search_keyword_at_least_one = models.CharField(max_length=765)
search_keyword_without = models.CharField(max_length=765)
search_keyword_within_title = models.CharField(max_length=765)
search_keyword_within_company = models.CharField(max_length=765)
updatedid = models.ForeignKey(OrgAccounts, db_column='updatedId') # Field name made lowercase.
updated = models.DateTimeField()
class Meta:
db_table = u'org_publisher_info'
in_db = 'jbb'
class OrgSettings(models.Model):
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
testmode = models.IntegerField(null=True, db_column='testMode', blank=True) # Field name made lowercase.
updated = models.DateTimeField()
search = models.IntegerField()
allow_international_postings = models.IntegerField()
allow_post_notifications = models.IntegerField()
class Meta:
db_table = u'org_settings'
in_db = 'jbb'
class OrgW9Secure(models.Model):
orgw9secure_id = models.IntegerField(primary_key=True)
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
social_security = models.CharField(max_length=765)
ein = models.CharField(max_length=765)
business_name = models.CharField(max_length=384)
business_type = models.IntegerField()
business_other_type = models.CharField(max_length=384)
withholding_exempt = models.IntegerField()
address = models.CharField(max_length=192)
city = models.CharField(max_length=192)
state = models.CharField(max_length=192)
zip = models.CharField(max_length=48)
country = models.CharField(max_length=192)
backup_withholding = models.IntegerField()
signature = models.CharField(max_length=384)
timestamp = models.DateTimeField()
ip_address = models.CharField(max_length=384)
updated_id = models.IntegerField()
class Meta:
db_table = u'org_w9_secure'
in_db = 'jbb'
class OrganizationMetrics(models.Model):
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
signup_ip = models.CharField(max_length=765)
signup_gr = models.CharField(max_length=765)
misc = models.TextField()
modified = models.DateTimeField()
class Meta:
db_table = u'organization_metrics'
in_db = 'jbb'
class PackageRevshare(models.Model):
packageid = models.ForeignKey(Packages, db_column='packageId') # Field name made lowercase.
pkg_jobpost_id = models.IntegerField()
sh_fixed = models.DecimalField(max_digits=12, decimal_places=4)
sh_percentage = models.DecimalField(max_digits=8, decimal_places=4)
discount_fixed = models.DecimalField(max_digits=12, decimal_places=4)
discount_percentage = models.DecimalField(max_digits=8, decimal_places=4)
commission_fixed = models.DecimalField(max_digits=12, decimal_places=4)
commission_percentage = models.DecimalField(max_digits=8, decimal_places=4)
class Meta:
db_table = u'package_revshare'
in_db = 'jbb'
class PackageStatus(models.Model):
packageid = models.ForeignKey(Packages, db_column='packageId') # Field name made lowercase.
status = models.IntegerField()
updatedid = models.ForeignKey(OrgAccounts, db_column='updatedId') # Field name made lowercase.
updated = models.DateTimeField()
class Meta:
db_table = u'package_status'
in_db = 'jbb'
class PaymentMethod(models.Model):
paymentmethod_id = models.IntegerField(primary_key=True)
orgid = models.ForeignKey(Organizations, db_column='orgId') # Field name made lowercase.
method = models.IntegerField()
method_id = models.IntegerField()
updated_id = models.IntegerField()
modified = models.DateTimeField()
class Meta:
db_table = u'payment_method'
in_db = 'jbb'
class PaymentMethodCheckSecure(models.Model):
paymentmethodchecksecure_id = models.IntegerField(primary_key=True)
orgid = models.IntegerField(db_column='orgId') # Field name made lowercase.
first_name = models.CharField(max_length=765)
last_name = models.CharField(max_length=765)
address_1 = models.CharField(max_length=765)
address_2 = models.CharField(max_length=765)
city = models.CharField(max_length=765)
state = models.CharField(max_length=6)
zip_code = models.CharField(max_length=30)
billing_contact_first_name = models.CharField(max_length=765)
billing_contact_last_name = models.CharField(max_length=765)
billing_contact_email = models.CharField(max_length=765)
billing_contact_phone = models.CharField(max_length=765)
billing_contact_fax = models.CharField(max_length=765)
updated_id = models.IntegerField()
modified = models.DateTimeField()
class Meta:
db_table = u'payment_method_check_secure'
in_db = 'jbb'
class PaymentMethodPaypalSecure(models.Model):
paymentmethodpaypalsecure_id = models.IntegerField(primary_key=True)
orgid = models.IntegerField(db_column='orgId') # Field name made lowercase.
account = models.CharField(max_length=765)
updated_id = models.IntegerField()
modified = models.DateTimeField()
class Meta:
db_table = u'payment_method_paypal_secure'
in_db = 'jbb'
class PayoutHistorySecure(models.Model):
payouthistorysecure_id = models.IntegerField(primary_key=True)
orgid = models.IntegerField(db_column='orgId') # Field name made lowercase.
revenue = models.DecimalField(max_digits=17, decimal_places=5)
amount = models.DecimalField(max_digits=17, decimal_places=5)
job_post_amount = models.DecimalField(max_digits=17, decimal_places=5)
currency_code = models.CharField(max_length=30)
method = models.IntegerField()
method_id = models.IntegerField()
ad_server_id = models.IntegerField()
ad_server_amount = models.DecimalField(max_digits=17, decimal_places=5)
start_date_time = models.DateTimeField()
end_date_time = models.DateTimeField()
ad_server_start_date_time = models.DateTimeField()
ad_server_end_date_time = models.DateTimeField()
issue_date_time = models.DateTimeField()
transaction_data = models.CharField(max_length=765)
status = models.IntegerField()
create_timestamp = models.DateTimeField()
modified = models.DateTimeField()
class Meta:
db_table = u'payout_history_secure'
in_db = 'jbb'
class PayoutSummarySaveSecure(models.Model):
orgid = models.IntegerField(db_column='orgId') # Field name made lowercase.
payout_history_id = models.IntegerField()
org_name = models.CharField(max_length=765)
domain_name = models.CharField(max_length=765)
total_earning = models.DecimalField(max_digits=17, decimal_places=5)
revenue = models.DecimalField(max_digits=17, decimal_places=5)
earning = models.DecimalField(max_digits=17, decimal_places=5)
ad_server_earning = models.DecimalField(max_digits=17, decimal_places=5)
currency_code = models.CharField(max_length=15)
payout_start_date = models.DateTimeField()
payout_end_date = models.DateTimeField()
ad_server_start_date = models.DateTimeField()
ad_server_end_date = models.DateTimeField()
has_w9 = models.IntegerField()
status = models.IntegerField()
modified = models.DateTimeField()
class Meta:
db_table = u'payout_summary_save_secure'
in_db = 'jbb'
class PayoutSummarySecure(models.Model):
orgid = models.IntegerField(primary_key=True, db_column='orgId') # Field name made lowercase.
payout_history_id = models.IntegerField()
org_name = models.CharField(max_length=765)
domain_name = models.CharField(max_length=765)
total_earning = models.DecimalField(max_digits=17, decimal_places=5)
revenue = models.DecimalField(max_digits=17, decimal_places=5)
earning = models.DecimalField(max_digits=17, decimal_places=5)
ad_server_earning = models.DecimalField(max_digits=17, decimal_places=5)
currency_code = models.CharField(max_length=15)
payout_start_date = models.DateTimeField()
payout_end_date = models.DateTimeField()
ad_server_start_date = models.DateTimeField()
ad_server_end_date = models.DateTimeField()
has_w9 = models.IntegerField()
status = models.IntegerField()
modified = models.DateTimeField()
class Meta:
db_table = u'payout_summary_secure'
in_db = 'jbb'
class PaypalTransactionSecure(models.Model):
paypaltransactionsecure_id = models.IntegerField(primary_key=True)
orgid = models.IntegerField(db_column='orgId') # Field name made lowercase.
payout_history_id = models.IntegerField()
transaction_data = models.CharField(max_length=765)
payment_status = models.CharField(max_length=765)
paypal_status = models.CharField(max_length=765)
transaction_timestamp = models.DateTimeField()
class Meta:
db_table = u'paypal_transaction_secure'
in_db = 'jbb'
class Transactions(models.Model):
txnid = models.IntegerField(primary_key=True, db_column='txnId') # Field name made lowercase.
invoiceid = models.ForeignKey(Invoices, db_column='invoiceId') # Field name made lowercase.
type = models.IntegerField()
reason = models.IntegerField()
amount = models.DecimalField(max_digits=17, decimal_places=5)
currency_code = models.CharField(max_length=9)
transaction = models.CharField(max_length=384)
transactedid = models.ForeignKey(OrgAccounts, db_column='transactedId') # Field name made lowercase.
transacted_proxy_id = models.IntegerField()
transacted = models.DateTimeField()
payout_history_id = models.IntegerField()
class Meta:
db_table = u'transactions'
in_db = 'jbb'
class TrkDiscountCode(models.Model):
job_post_id = models.IntegerField()
package_id = models.IntegerField()
price = models.DecimalField(max_digits=17, decimal_places=5)
final_price = models.DecimalField(max_digits=17, decimal_places=5)
currency_code = models.CharField(max_length=9)
discount_amount = models.DecimalField(max_digits=17, decimal_places=5)
discount_type = models.CharField(max_length=192)
job_limit = models.IntegerField()
expiration_date = models.DateTimeField()
last_updated = models.DateTimeField()
class Meta:
db_table = u'trk_discount_code'
in_db = 'jbb'
class TrkJobPackage(models.Model):
job_post_id = models.IntegerField()
package_id = models.IntegerField()
price = models.DecimalField(max_digits=17, decimal_places=5)
final_price = models.DecimalField(max_digits=17, decimal_places=5)
currency_code = models.CharField(max_length=9)
job_limit = models.IntegerField()
expiration_date = models.DateTimeField()
last_updated = models.DateTimeField()
class Meta:
db_table = u'trk_job_package'
in_db = 'jbb'
class Users(models.Model):
username = models.CharField(max_length=384, primary_key=True, db_column='userName') # Field name made lowercase.
userid = models.ForeignKey(Accounts, db_column='userId') # Field name made lowercase.
updated = models.DateTimeField()
class Meta:
db_table = u'users'
in_db = 'jbb'
class UserPassword(models.Model):
userid = models.ForeignKey(Users, db_column='userId') # Field name made lowercase.
password = models.CharField(max_length=34)
password_updated = models.DateTimeField()
class Meta:
db_table = u'user_password'
in_db = 'jbb'
class UserPasswordReset(models.Model):
userid = models.ForeignKey(Users, db_column='userId') # Field name made lowercase.
resetkey = models.CharField(max_length=60)
sent_count = models.IntegerField()
sent_last = models.DateTimeField()
reset_created = models.DateTimeField()
class Meta:
db_table = u'user_password_reset'
in_db = 'jbb'
| [
"[email protected]"
] | |
807223eb8782e42786914cfe301694dc05950c8c | c47340ae6bcac6002961cc2c6d2fecb353c1e502 | /test/test_ctmvar_get_result_item.py | 468eb96cb02f551c4285294922b0852f7b500fd4 | [
"MIT"
] | permissive | rafaeldelrey/controlm_py | 6d9f56b8b6e72750f329d85b932ace6c41002cbd | ed1eb648d1d23e587321227217cbfcc5065535ab | refs/heads/main | 2023-04-23T09:01:32.024725 | 2021-05-19T00:25:53 | 2021-05-19T00:25:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 947 | py | # coding: utf-8
"""
Control-M Services
Provides access to BMC Control-M Services # noqa: E501
OpenAPI spec version: 9.20.115
Contact: [email protected]
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import controlm_py
from controlm_py.models.ctmvar_get_result_item import CtmvarGetResultItem # noqa: E501
from controlm_py.rest import ApiException
class TestCtmvarGetResultItem(unittest.TestCase):
"""CtmvarGetResultItem unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testCtmvarGetResultItem(self):
"""Test CtmvarGetResultItem"""
# FIXME: construct object with mandatory attributes with example values
# model = controlm_py.models.ctmvar_get_result_item.CtmvarGetResultItem() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
| [
"[email protected]"
] | |
9aada7ffa4c35d680378a0d38aae50a69952de0c | cb2882bd79c4af7a145f0639a5c7f473b1d22456 | /tutorials/auto_scheduler/tune_network_x86.py | 8526abbbe6caafb3058012337f24f4792401da75 | [
"Apache-2.0",
"Zlib",
"MIT",
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference",
"Unlicense"
] | permissive | vinx13/tvm | 8e37dd7735eeadc476596ba96f683a93f44a26c3 | fe398bf206d01b54a2d74603e6bc9c012d63b2c9 | refs/heads/master | 2023-08-30T17:50:49.337568 | 2021-02-17T08:16:26 | 2021-02-17T08:16:26 | 141,384,391 | 4 | 0 | Apache-2.0 | 2022-09-21T18:53:08 | 2018-07-18T05:16:49 | Python | UTF-8 | Python | false | false | 14,204 | 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.
"""
Auto-scheduling a Neural Network for x86 CPU
============================================
**Author**: `Lianmin Zheng <https://github.com/merrymercy>`_
Auto-tuning for specific devices and workloads is critical for getting the
best performance. This is a tutorial on how to tune a whole neural
network for x86 CPU with the auto-scheduler.
To auto-tune a neural network, we partition the network into small subgraphs and
tune them independently. Each subgraph is treated as one search task.
A task scheduler slices the time and dynamically allocates time resources to
these tasks. The task scheduler predicts the impact of each task on the end-to-end
execution time and prioritizes the one that can reduce the execution time the most.
For each subgraph, we use the compute declaration in :code:`tvm/python/topi` to
get the computational DAG in the tensor expression form.
We then use the auto-scheduler to construct a search space of this DAG and search
for good schedules (low-level optimizations).
Different from the template-based :ref:`autotvm <tutorials-autotvm-sec>` which relies on
manual templates to define the search space, the auto-scheduler does not require any
schedule templates. In other words, the auto-scheduler only uses the compute declarations
in :code:`tvm/python/topi` and does not use existing schedule templates.
Note that this tutorial will not run on Windows or recent versions of macOS. To
get it to run, you will need to wrap the body of this tutorial in a :code:`if
__name__ == "__main__":` block.
"""
import numpy as np
import tvm
from tvm import relay, auto_scheduler
import tvm.relay.testing
from tvm.contrib import graph_runtime
#################################################################
# Define a Network
# ----------------
# First, we need to define the network with relay frontend API.
# We can load some pre-defined network from :code:`tvm.relay.testing`.
# We can also load models from MXNet, ONNX, PyTorch, and TensorFlow
# (see :ref:`front end tutorials<tutorial-frontend>`).
#
# For convolutional neural networks, although auto-scheduler can work correctly
# with any layout, we found the best performance is typically achieved with NHWC layout.
# We also implemented more optimizations for NHWC layout with the auto-scheduler.
# So it is recommended to convert your models to NHWC layout to use the auto-scheduler.
# You can use :ref:`ConvertLayout <convert-layout-usage>` pass to do the layout conversion in TVM.
def get_network(name, batch_size, layout="NHWC", dtype="float32"):
"""Get the symbol definition and random weight of a network"""
# auto-scheduler prefers NHWC layout
if layout == "NHWC":
image_shape = (224, 224, 3)
elif layout == "NCHW":
image_shape = (3, 224, 224)
else:
raise ValueError("Invalid layout: " + layout)
input_shape = (batch_size,) + image_shape
output_shape = (batch_size, 1000)
if name.startswith("resnet-"):
n_layer = int(name.split("-")[1])
mod, params = relay.testing.resnet.get_workload(
num_layers=n_layer,
batch_size=batch_size,
layout=layout,
dtype=dtype,
image_shape=image_shape,
)
elif name.startswith("resnet3d-"):
n_layer = int(name.split("-")[1])
mod, params = relay.testing.resnet.get_workload(
num_layers=n_layer,
batch_size=batch_size,
layout=layout,
dtype=dtype,
image_shape=image_shape,
)
elif name == "mobilenet":
mod, params = relay.testing.mobilenet.get_workload(
batch_size=batch_size, layout=layout, dtype=dtype, image_shape=image_shape
)
elif name == "squeezenet_v1.1":
assert layout == "NCHW", "squeezenet_v1.1 only supports NCHW layout"
mod, params = relay.testing.squeezenet.get_workload(
version="1.1",
batch_size=batch_size,
dtype=dtype,
image_shape=image_shape,
)
elif name == "inception_v3":
input_shape = (batch_size, 3, 299, 299) if layout == "NCHW" else (batch_size, 299, 299, 3)
mod, params = relay.testing.inception_v3.get_workload(batch_size=batch_size, dtype=dtype)
elif name == "mxnet":
# an example for mxnet model
from mxnet.gluon.model_zoo.vision import get_model
assert layout == "NCHW"
block = get_model("resnet50_v1", pretrained=True)
mod, params = relay.frontend.from_mxnet(block, shape={"data": input_shape}, dtype=dtype)
net = mod["main"]
net = relay.Function(
net.params, relay.nn.softmax(net.body), None, net.type_params, net.attrs
)
mod = tvm.IRModule.from_expr(net)
return mod, params, input_shape, output_shape
# Define the neural network and compilation target.
# If the target machine supports avx512 instructions, replace the
# "llvm -mcpu=core-avx2" with "llvm -mcpu=skylake-avx512"
network = "resnet-50"
batch_size = 1
layout = "NHWC"
target = tvm.target.Target("llvm -mcpu=core-avx2")
dtype = "float32"
log_file = "%s-%s-B%d-%s.json" % (network, layout, batch_size, target.kind.name)
#################################################################
# Extract Search Tasks
# --------------------
# Next, we extract the search tasks and their weights from a network.
# The weight of a task is the number of appearances of the task's subgraph
# in the whole network.
# By using the weight, we can approximate the end-to-end latency of the network
# as :code:`sum(latency[t] * weight[t])`, where :code:`latency[t]` is the
# latency of a task and :code:`weight[t]` is the weight of the task.
# The task scheduler will just optimize this objective.
# Extract tasks from the network
print("Extract tasks...")
mod, params, input_shape, output_shape = get_network(network, batch_size, layout, dtype=dtype)
tasks, task_weights = auto_scheduler.extract_tasks(mod["main"], params, target)
for idx, task in enumerate(tasks):
print("========== Task %d (workload key: %s) ==========" % (idx, task.workload_key))
print(task.compute_dag)
#################################################################
# Begin Tuning
# ------------
# Now, we set some options for tuning and launch the search tasks
#
# * :code:`num_measure_trials` is the number of measurement trials we can use during the tuning.
# You can set it to a small number (e.g., 200) for a fast demonstrative run.
# In practice, we recommend setting it around :code:`800 * len(tasks)`,
# which is typically enough for the search to converge.
# For example, there are 29 tasks in resnet-50, so we can set it as 20000.
# You can adjust this parameter according to your time budget.
# * In addition, we use :code:`RecordToFile` to dump measurement records into a log file,
# The measurement records can be used to query the history best, resume the search,
# and do more analyses later.
# * see :any:`auto_scheduler.TuningOptions`,
# :any:`auto_scheduler.LocalRunner` for more parameters.
#
def run_tuning():
print("Begin tuning...")
tuner = auto_scheduler.TaskScheduler(tasks, task_weights)
tune_option = auto_scheduler.TuningOptions(
num_measure_trials=200, # change this to 20000 to achieve the best performance
runner=auto_scheduler.LocalRunner(repeat=10, enable_cpu_cache_flush=True),
measure_callbacks=[auto_scheduler.RecordToFile(log_file)],
)
tuner.tune(tune_option)
# We do not run the tuning in our webpage server since it takes too long.
# Uncomment the following line to run it by yourself.
# run_tuning()
######################################################################
# .. note:: Explain the printed information during tuning
#
# During the tuning, a lot of information will be printed on the console.
# They are used for debugging purposes. The most important info is the output
# of the task scheduler. The following table is a sample output.
#
# .. code-block:: c
#
# ----------------------------------------------------------------------
# ------------------------------ [ Task Scheduler ]
# ----------------------------------------------------------------------
# | ID | Latency (ms) | Speed (GFLOPS) | Trials |
# -------------------------------------------------
# | 0 | 0.010 | 0.40 | 64 |
# | 1 | 0.087 | 47.19 | 64 |
# | 2 | 0.008 | -0.00 | 64 |
# | 3 | 0.177 | 582.07 | 64 |
# | 4 | 0.268 | 862.37 | 256 |
# | 5 | 0.166 | 621.13 | 128 |
# | 6 | 0.170 | 605.10 | 128 |
# | 7 | 0.128 | 403.20 | 64 |
# | 8 | 0.189 | 545.71 | 64 |
# | 9 | 0.231 | 1001.01 | 448 |
# | 10 | 0.155 | 664.80 | 256 |
# | 11 | 0.155 | 662.86 | 256 |
# | 12 | 0.119 | 434.08 | 64 |
# | 13 | 0.199 | 522.13 | 64 |
# | 14 | 0.235 | 986.56 | 320 |
# | 15 | 0.149 | 689.13 | 128 |
# | 16 | 0.155 | 664.80 | 192 |
# | 17 | 0.151 | 340.64 | 64 |
# | 18 | 0.176 | 597.55 | 128 |
# | 19 | 0.220 | 1054.37 | 192 |
# | 20 | 0.150 | 686.01 | 128 |
# | 21 | 0.159 | 650.88 | 128 |
# | 22 | 0.073 | 358.19 | 64 |
# | 23 | 0.031 | 70.63 | 64 |
# | 24 | 0.251 | 947.73 | 128 |
# | 25 | 0.157 | 652.47 | 128 |
# | 26 | 0.215 | 954.84 | 128 |
# | 27 | 0.237 | 868.92 | 128 |
# | 28 | 0.266 | 774.06 | 128 |
# -------------------------------------------------
# Estimated total latency: 10.016 ms Trials: 3992 Used time : 1131 s Next ID: 15
#
# This table lists the latency and (estimated) speed of all tasks.
# It also lists the allocation of measurement trials for all tasks.
# The last line prints the total weighted latency of these tasks,
# which can be a rough estimation of the end-to-end execution time
# of the network.
# The last line also prints the total number of measurement trials,
# total time spent on auto-tuning and the id of the next task to tune.
#
# There will also be some "dmlc::Error"s errors, because the
# auto-scheduler will try some invalid schedules.
# You can safely ignore them if the tuning can continue, because these
# errors are isolated from the main process.
#
######################################################################
# .. note:: Terminate the tuning earlier
#
# You can terminate the tuning earlier by forcibly killing this process.
# As long as you get at least one valid schedule for each task in the log file,
# you should be able to do the compilation (the secion below).
#
#################################################################
# Compile and Evaluate
# --------------------
# After auto-tuning, we can compile the network with the best schedules we found.
# All measurement records are dumped into the log file during auto-tuning,
# so we can read the log file and load the best schedules.
# Compile with the history best
print("Compile...")
with auto_scheduler.ApplyHistoryBest(log_file):
with tvm.transform.PassContext(opt_level=3, config={"relay.backend.use_auto_scheduler": True}):
lib = relay.build(mod, target=target, params=params)
# Create graph runtime
ctx = tvm.context(str(target), 0)
module = graph_runtime.GraphModule(lib["default"](ctx))
data_tvm = tvm.nd.array((np.random.uniform(size=input_shape)).astype(dtype))
module.set_input("data", data_tvm)
# Evaluate
print("Evaluate inference time cost...")
ftimer = module.module.time_evaluator("run", ctx, repeat=3, min_repeat_ms=500)
prof_res = np.array(ftimer().results) * 1e3 # convert to millisecond
print("Mean inference time (std dev): %.2f ms (%.2f ms)" % (np.mean(prof_res), np.std(prof_res)))
#################################################################
# Other Tips
# ----------
# 1. During the tuning, the auto-scheduler needs to compile many programs and
# extract feature from them. This part is CPU-intensive,
# so a high-performance CPU with many cores is recommended for faster search.
# 2. You can use :code:`python3 -m tvm.auto_scheduler.measure_record --mode distill -i log.json`
# to distill the large log file and only save the best useful records.
# 3. You can resume a search from the previous log file. You just need to
# add a new argument :code:`load_log_file` when creating the task scheduler
# in function :code:`run_tuning`. Say,
# :code:`tuner = auto_scheduler.TaskScheduler(tasks, task_weights, load_log_file=log_file)`
# 4. If you have multiple target CPUs, you can use all of them for measurements to
# parallelize the measurements. Check this :ref:`section <tutorials-autotvm-scale-up-rpc-tracker>`
# to learn how to use the RPC Tracker and RPC Server.
# To use the RPC Tracker in auto-scheduler, replace the runner in :code:`TuningOptions`
# with :any:`auto_scheduler.RPCRunner`.
| [
"[email protected]"
] | |
c0d47f8307c3798e6edc8b33f7c824987feb7e12 | c848015268e430b10f1bc39a2fd5a6f7a8cda44d | /bin/Compare_unique/Sum_unique.py | b751b593c4924b7a4001cba2afeabe8f2079e20b | [] | no_license | wangpanqiao/Transposition | 36b87d2f9032170112fce993f17454b6562bb108 | e102de63df2bcd5f7b41075a447eb937ee753832 | refs/heads/master | 2020-08-27T00:07:00.923134 | 2015-12-01T22:30:45 | 2015-12-01T22:30:45 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 6,987 | py | #!/opt/Python/2.7.3/bin/python
import sys
from collections import defaultdict
import numpy as np
import re
import os
import argparse
from Bio import SeqIO
def usage():
test="name"
message='''
python Sum_unique.py --input RIL275_RelocaTEi.CombinedGFF.characterized.unique_mPing.gff
'''
print message
def fasta_id(fastafile):
fastaid = defaultdict(str)
for record in SeqIO.parse(fastafile,"fasta"):
fastaid[record.id] = 1
return fastaid
#split unit[8] of gff
def gff_attr8(unit8):
temp = defaultdict(lambda : str())
attrs = re.split(r';', unit8)
for attr in attrs:
#print attr
if not attr == '':
#print 'yes'
idx, value = re.split(r'\=', attr)
temp[idx] = value
return temp
#correct mping index for these not accurate calls
def readtable_ril_mping_correct(infile):
mping_correct = defaultdict(lambda : str())
with open (infile, 'r') as filehd:
for line in filehd:
line = line.rstrip()
if len(line) > 2:
unit = re.split(r'\t',line)
if not unit[1] == unit[10]:
mping= '%s:%s-%s' %(unit[0], unit[3], unit[4])
attrs1 = gff_attr8(unit[8])
attrs2 = gff_attr8(unit[17])
if attrs1['TSD'] == 'supporting_junction' or not len(attrs1['TSD']) == 3:
if not mping_correct.has_key(mping):
if not attrs2['TSD'] == 'supporting_junction' and len(attrs2['TSD']) == 3:
mping_correct[mping] = '%s:%s-%s' %(unit[9], unit[12], unit[13])
return mping_correct
##overlap with ril
#Chr1 RIL231_0 transposable_element_attribute 4228091 4228092 + . . ID=Chr1.4228092.spanners;Strain=RIL231_0;avg_flankers=6;spanners=0;type=homozygous;TE=mping;TSD=TT Chr1 RIL231_0
#some of mPing insertion sites are not accurate. we create a dict to store correct index of this mping using their overlap.
#the resulted allele frequency should have correct position for all the mping
def readtable_ril(infile, mping_correct):
data = defaultdict(lambda : defaultdict(lambda : int()))
r = re.compile(r'RIL(\d+)')
with open (infile, 'r') as filehd:
for line in filehd:
line = line.rstrip()
if len(line) > 2:
unit = re.split(r'\t',line)
if not unit[1] == unit[10]:
mping1= '%s:%s-%s' %(unit[0], unit[3], unit[4])
mping2= '%s:%s-%s' %(unit[9], unit[12], unit[13])
ril1 = r.search(unit[1]).groups(0)[0] if r.search(unit[1]) else 'NA'
ril2 = r.search(unit[10]).groups(0)[0] if r.search(unit[10]) else 'NA'
if mping_correct.has_key(mping1):
mping1 = mping_correct[mping1]
if mping_correct.has_key(mping2):
mping2 = mping_correct[mping2]
print '%s\t%s\t%s\t%s' %(mping1, ril1, mping2, ril2)
data[mping1][ril1] = 1
data[mping2][ril2] = 1
return data
##overlap with HEG4
def readtable_nonref(infile, mping_correct):
data = defaultdict(lambda : defaultdict(lambda : int()))
r = re.compile(r'RIL(\d+)')
with open (infile, 'r') as filehd:
for line in filehd:
line = line.rstrip()
if len(line) > 2:
unit = re.split(r'\t',line)
mping= '%s:%s-%s' %(unit[0], unit[3], unit[4])
ril = r.search(unit[1]).groups(0)[0] if r.search(unit[1]) else 'NA'
if mping_correct.has_key(mping):
mping = mping_correct[mping]
data[mping][ril] = 1
return data
##unique mping
def readtable(infile):
data = defaultdict(lambda : int())
r = re.compile(r'RIL(\d+)')
with open (infile, 'r') as filehd:
for line in filehd:
line = line.rstrip()
if len(line) > 2:
unit = re.split(r'\t',line)
ril = r.search(unit[1]).groups(0)[0] if r.search(unit[1]) else 'NA'
data[ril] += 1
return data
def main():
parser = argparse.ArgumentParser()
parser.add_argument('-i', '--input')
parser.add_argument('-o', '--output')
parser.add_argument('-v', dest='verbose', action='store_true')
args = parser.parse_args()
try:
len(args.input) > 0
except:
usage()
sys.exit(2)
prefix = os.path.splitext(os.path.splitext(args.input)[0])[0]
#mping_correct_index = defaultdict(lambda : str())
mping_correct_index = readtable_ril_mping_correct('%s.overlap_ril' %(prefix))
mping_ovlp_rils = readtable_ril('%s.overlap_ril' %(prefix), mping_correct_index)
mping_ovlp_heg4 = readtable_nonref('%s.overlap_ref' %(prefix), mping_correct_index)
r = re.compile(r'(\w+):(\d+)-(\d+)')
##mPing_allele_frequency
ofile = open('%s.mping.ril.frequency' %(prefix), 'w')
ofile1 = open('%s.mping.ril.list' %(prefix), 'w')
for mping in mping_ovlp_rils.keys():
m = r.search(mping)
chro, start, end = ['', 0, 0]
if m:
chro = m.groups(0)[0]
start = m.groups(0)[1]
end = m.groups(0)[2]
count = len(mping_ovlp_rils[mping].keys())
print >> ofile1, '%s\t%s' %(mping, ','.join(map(str, mping_ovlp_rils[mping].keys())))
print >> ofile, '%s\t%s\t%s\t%s\t%s\t%s\t%s' %(chro, start, end, mping, '+', count, float(count)/275)
ofile.close()
ofile1.close()
##RILs shared and unique mPing
#shared with ril
ril_mping_count = defaultdict(lambda : int())
for mping in mping_ovlp_rils.keys():
for ril in mping_ovlp_rils[mping].keys():
if mping_ovlp_heg4[mping][ril] == 0:
ril_mping_count[ril] += 1
#shared with heg4
heg4_mping_count = defaultdict(lambda : int())
for mping in mping_ovlp_heg4.keys():
for ril in mping_ovlp_heg4[mping].keys():
if mping_ovlp_heg4[mping][ril] > 0:
heg4_mping_count[ril] += 1
#unique
unique_mping = readtable(args.input)
#output table
ofile = open('%s.mping.shared_unique_table.txt' %(prefix), 'w')
print >> ofile, 'Sample\tShared_HEG4\tShared_RILs\tShared\tUnique'
for ril in sorted(heg4_mping_count.keys(), key=int):
shared_heg4 = heg4_mping_count[ril]
shared_rils = ril_mping_count[ril]
shared = int(shared_heg4) + int(shared_rils)
unique = unique_mping[ril]
print >> ofile, 'RIL%s\t%s\t%s\t%s\t%s' %(ril, shared_heg4, shared_rils, shared, unique)
ofile.close()
print 'Sample\tUnique_mPing'
#unique_mping = readtable(args.input)
for ril in sorted(unique_mping.keys(), key=int):
print 'RIL%s\t%s' %(ril, unique_mping[ril])
if __name__ == '__main__':
main()
| [
"[email protected]"
] | |
5c39feec3f3cde848840efa165bb4fa1ed38e075 | 4bc5f6cc69448d54a7d0fd3be19317613999ceb3 | /authentication-with-flask-login/app/forms.py | 05908ee49f2e2d0610662672ff5bbe608e021d63 | [] | no_license | ThiaguinhoLS/flask-repo | 9aee2b6ff7bf9d61001ee3e3cbea1478caf108cd | 81e68c85ee8a1560a33bbaf78cbcb581c351ebb9 | refs/heads/master | 2020-04-26T16:24:32.721289 | 2019-03-12T06:26:27 | 2019-03-12T06:26:27 | 173,677,188 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 711 | py | # -*- coding: utf-8 -*-
from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, SubmitField
from wtforms.validators import DataRequired, EqualTo
class RegisterForm(FlaskForm):
username = StringField("Username", validators=[DataRequired()])
password = PasswordField("Password", validators=[DataRequired()])
confirm_password = PasswordField(
"Confirm Password",
validators=[DataRequired(), EqualTo("password")]
)
submit = SubmitField("Register")
class LoginForm(FlaskForm):
username = StringField("Username", validators=[DataRequired()])
password = PasswordField("Password", validators=[DataRequired()])
submit = SubmitField("Login")
| [
"[email protected]"
] | |
89c5b5ad7eff9c309c5857ac05d9e101834971dd | d9be34d92ec5bfec5756d5310c2e34226d726cb4 | /topics/number_line.py | 6f56af6f116629d093bcf1c05d295bd9366b7025 | [] | no_license | Oldpan/manim | 43119e4cf0b2d7c17affd66d1f64ce7a6c3bce81 | ac079f182a977bf0d830ab7647971b67cf9e5160 | refs/heads/master | 2021-07-20T11:23:45.752896 | 2017-10-27T22:12:29 | 2017-10-27T22:12:29 | 108,652,804 | 1 | 0 | null | 2017-10-28T13:47:39 | 2017-10-28T13:47:39 | null | UTF-8 | Python | false | false | 11,515 | py | from helpers import *
from mobject import Mobject1D
from mobject.vectorized_mobject import VMobject, VGroup
from mobject.tex_mobject import TexMobject
from topics.geometry import Line, Arrow
from scene import Scene
class NumberLine(VMobject):
CONFIG = {
"color" : BLUE,
"x_min" : -SPACE_WIDTH,
"x_max" : SPACE_WIDTH,
"unit_size" : 1,
"tick_size" : 0.1,
"tick_frequency" : 1,
"leftmost_tick" : None, #Defaults to ceil(x_min)
"numbers_with_elongated_ticks" : [0],
"numbers_to_show" : None,
"longer_tick_multiple" : 2,
"number_at_center" : 0,
"number_scale_val" : 0.75,
"line_to_number_vect" : DOWN,
"line_to_number_buff" : MED_SMALL_BUFF,
"include_tip" : False,
"propogate_style_to_family" : True,
}
def __init__(self, **kwargs):
digest_config(self, kwargs)
if self.leftmost_tick is None:
self.leftmost_tick = np.ceil(self.x_min)
VMobject.__init__(self, **kwargs)
if self.include_tip:
self.add_tip()
def generate_points(self):
self.main_line = Line(self.x_min*RIGHT, self.x_max*RIGHT)
self.tick_marks = VGroup()
self.add(self.main_line, self.tick_marks)
for x in self.get_tick_numbers():
self.add_tick(x, self.tick_size)
for x in self.numbers_with_elongated_ticks:
self.add_tick(x, self.longer_tick_multiple*self.tick_size)
self.stretch(self.unit_size, 0)
self.shift(-self.number_to_point(self.number_at_center))
def add_tick(self, x, size = None):
self.tick_marks.add(self.get_tick(x, size))
return self
def get_tick(self, x, size = None):
if size is None: size = self.tick_size
result = Line(size*DOWN, size*UP)
result.rotate(self.main_line.get_angle())
result.move_to(self.number_to_point(x))
return result
def get_tick_marks(self):
return self.tick_marks
def get_tick_numbers(self):
epsilon = 0.001
return np.arange(
self.leftmost_tick, self.x_max+epsilon,
self.tick_frequency
)
def number_to_point(self, number):
alpha = float(number-self.x_min)/(self.x_max - self.x_min)
return interpolate(
self.main_line.get_start(),
self.main_line.get_end(),
alpha
)
def point_to_number(self, point):
left_point, right_point = self.main_line.get_start_and_end()
full_vect = right_point-left_point
def distance_from_left(p):
return np.dot(p-left_point, full_vect)/np.linalg.norm(full_vect)
return interpolate(
self.x_min, self.x_max,
distance_from_left(point)/distance_from_left(right_point)
)
def default_numbers_to_display(self):
if self.numbers_to_show is not None:
return self.numbers_to_show
return np.arange(int(self.leftmost_tick), int(self.x_max)+1)
def get_number_mobjects(self, *numbers, **kwargs):
#TODO, handle decimals
if len(numbers) == 0:
numbers = self.default_numbers_to_display()
if "force_integers" in kwargs and kwargs["force_integers"]:
numbers = map(int, numbers)
result = VGroup()
for number in numbers:
mob = TexMobject(str(number))
mob.scale(self.number_scale_val)
mob.next_to(
self.number_to_point(number),
self.line_to_number_vect,
self.line_to_number_buff,
)
result.add(mob)
return result
def add_numbers(self, *numbers, **kwargs):
self.numbers = self.get_number_mobjects(
*numbers, **kwargs
)
self.add(*self.numbers)
return self
def add_tip(self):
start, end = self.main_line.get_start_and_end()
vect = (end - start)/np.linalg.norm(end-start)
arrow = Arrow(start, end + MED_SMALL_BUFF*vect, buff = 0)
tip = arrow.tip
tip.highlight(self.color)
self.tip = tip
self.add(tip)
class UnitInterval(NumberLine):
CONFIG = {
"x_min" : 0,
"x_max" : 1,
"unit_size" : 6,
"tick_frequency" : 0.1,
"numbers_with_elongated_ticks" : [0, 1],
"number_at_center" : 0.5,
}
class Axes(VGroup):
CONFIG = {
"propogate_style_to_family" : True,
"three_d" : False,
"number_line_config" : {
"color" : LIGHT_GREY,
"include_tip" : True,
},
"x_min" : -SPACE_WIDTH,
"x_max" : SPACE_WIDTH,
"y_min" : -SPACE_HEIGHT,
"y_max" : SPACE_HEIGHT,
"z_min" : -3.5,
"z_max" : 3.5,
"z_normal" : DOWN,
}
def __init__(self, **kwargs):
VGroup.__init__(self, **kwargs)
self.x_axis = NumberLine(
x_min = self.x_min,
x_max = self.x_max,
**self.number_line_config
)
self.y_axis = NumberLine(
x_min = self.y_min,
x_max = self.y_max,
**self.number_line_config
)
self.y_axis.rotate(np.pi/2)
self.add(self.x_axis, self.y_axis)
if self.three_d:
self.z_axis = NumberLine(
x_min = self.z_min,
x_max = self.z_max,
**self.number_line_config
)
self.z_axis.rotate(-np.pi/2, UP)
self.z_axis.rotate(angle_of_vector(self.z_normal), OUT)
self.add(self.z_axis)
class ThreeDAxes(Axes):
CONFIG = {
"x_min" : -5.5,
"x_max" : 5.5,
"y_min" : -4.5,
"y_max" : 4.5,
"three_d" : True,
}
class NumberPlane(VMobject):
CONFIG = {
"color" : BLUE_D,
"secondary_color" : BLUE_E,
"axes_color" : WHITE,
"secondary_stroke_width" : 1,
"x_radius": None,
"y_radius": None,
"x_unit_size" : 1,
"y_unit_size" : 1,
"center_point" : ORIGIN,
"x_line_frequency" : 1,
"y_line_frequency" : 1,
"secondary_line_ratio" : 1,
"written_coordinate_height" : 0.2,
"propogate_style_to_family" : False,
}
def generate_points(self):
if self.x_radius is None:
center_to_edge = (SPACE_WIDTH + abs(self.center_point[0]))
self.x_radius = center_to_edge / self.x_unit_size
if self.y_radius is None:
center_to_edge = (SPACE_HEIGHT + abs(self.center_point[1]))
self.y_radius = center_to_edge / self.y_unit_size
self.axes = VMobject()
self.main_lines = VMobject()
self.secondary_lines = VMobject()
tuples = [
(
self.x_radius,
self.x_line_frequency,
self.y_radius*DOWN,
self.y_radius*UP,
RIGHT
),
(
self.y_radius,
self.y_line_frequency,
self.x_radius*LEFT,
self.x_radius*RIGHT,
UP,
),
]
for radius, freq, start, end, unit in tuples:
main_range = np.arange(0, radius, freq)
step = freq/float(freq + self.secondary_line_ratio)
for v in np.arange(0, radius, step):
line1 = Line(start+v*unit, end+v*unit)
line2 = Line(start-v*unit, end-v*unit)
if v == 0:
self.axes.add(line1)
elif v in main_range:
self.main_lines.add(line1, line2)
else:
self.secondary_lines.add(line1, line2)
self.add(self.secondary_lines, self.main_lines, self.axes)
self.stretch(self.x_unit_size, 0)
self.stretch(self.y_unit_size, 1)
self.shift(self.center_point)
#Put x_axis before y_axis
y_axis, x_axis = self.axes.split()
self.axes = VMobject(x_axis, y_axis)
def init_colors(self):
VMobject.init_colors(self)
self.axes.set_stroke(self.axes_color, self.stroke_width)
self.main_lines.set_stroke(self.color, self.stroke_width)
self.secondary_lines.set_stroke(
self.secondary_color, self.secondary_stroke_width
)
return self
def get_center_point(self):
return self.coords_to_point(0, 0)
def coords_to_point(self, x, y):
x, y = np.array([x, y])
result = self.axes.get_center()
result += x*self.get_x_unit_size()*RIGHT
result += y*self.get_y_unit_size()*UP
return result
def point_to_coords(self, point):
new_point = point - self.axes.get_center()
x = new_point[0]/self.get_x_unit_size()
y = new_point[1]/self.get_y_unit_size()
return x, y
def get_x_unit_size(self):
return self.axes.get_width() / (2.0*self.x_radius)
def get_y_unit_size(self):
return self.axes.get_height() / (2.0*self.y_radius)
def get_coordinate_labels(self, x_vals = None, y_vals = None):
coordinate_labels = VGroup()
if x_vals == None:
x_vals = range(-int(self.x_radius), int(self.x_radius)+1)
if y_vals == None:
y_vals = range(-int(self.y_radius), int(self.y_radius)+1)
for index, vals in enumerate([x_vals, y_vals]):
num_pair = [0, 0]
for val in vals:
if val == 0:
continue
num_pair[index] = val
point = self.coords_to_point(*num_pair)
num = TexMobject(str(val))
num.add_background_rectangle()
num.scale_to_fit_height(
self.written_coordinate_height
)
num.next_to(point, DOWN+LEFT, buff = SMALL_BUFF)
coordinate_labels.add(num)
self.coordinate_labels = coordinate_labels
return coordinate_labels
def get_axes(self):
return self.axes
def get_axis_labels(self, x_label = "x", y_label = "y"):
x_axis, y_axis = self.get_axes().split()
quads = [
(x_axis, x_label, UP, RIGHT),
(y_axis, y_label, RIGHT, UP),
]
labels = VGroup()
for axis, tex, vect, edge in quads:
label = TexMobject(tex)
label.add_background_rectangle()
label.next_to(axis, vect)
label.to_edge(edge)
labels.add(label)
self.axis_labels = labels
return labels
def add_coordinates(self, x_vals = None, y_vals = None):
self.add(*self.get_coordinate_labels(x_vals, y_vals))
return self
def get_vector(self, coords, **kwargs):
point = coords[0]*RIGHT + coords[1]*UP
arrow = Arrow(ORIGIN, coords, **kwargs)
return arrow
def prepare_for_nonlinear_transform(self, num_inserted_anchor_points = 50):
for mob in self.family_members_with_points():
num_anchors = mob.get_num_anchor_points()
if num_inserted_anchor_points > num_anchors:
mob.insert_n_anchor_points(num_inserted_anchor_points-num_anchors)
mob.make_smooth()
return self
def apply_function(self, function, maintain_smoothness = True):
VMobject.apply_function(self, function, maintain_smoothness = maintain_smoothness)
| [
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] | |
9f635f6fa32ef161386cd71ad13f0caeb9e69192 | 419d6346d722589ecff72a33f2431775f9bf3dfa | /sampleCode/sample8/cities.py | 8453e6fb5a1129f1be656645813d88e7dec5d11d | [] | no_license | wzmf038827/pythonFlask | dc414c37322ace036a1b9858ce5626a59dcbda4e | 216db3c846ecc7a49c7f3cc7d1b15d6d3be7905a | refs/heads/master | 2023-04-11T17:44:52.093854 | 2021-05-03T06:06:11 | 2021-05-03T06:06:11 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,123 | py | import os
import sqlite3
from flask_sqlalchemy import SQLAlchemy
from main import app
basePath = os.path.abspath(os.path.dirname(__file__))
cityPath = os.path.join(basePath, 'citys.db')
conn = sqlite3.connect(cityPath)
print('開啟資料庫成功')
c = conn.cursor()
cursor = c.execute("select * from city")
print(cursor.__class__)
citys = list(cursor)
print("select 成功")
conn.close()
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///' + os.path.join(basePath,'citys.sqlite')
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db = SQLAlchemy(app)
class City(db.Model):
__tablename__ = 'city'
id = db.Column(db.Integer, primary_key=True)
cityName = db.Column(db.String(64), unique=True)
continent = db.Column(db.String(64), nullable=False)
country = db.Column(db.String(64), nullable=False)
image = db.Column(db.String(64), nullable=False)
description = db.Column(db.Text)
lat = db.Column(db.Float, nullable=False)
lon = db.Column(db.Float, nullable=False)
url = db.Column(db.String(256))
def getAllCities():
cityList = City.query.all()
print(cityList)
| [
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] | |
a7c6313e7d96e4efb70302abea076553c2bc4427 | d9c1890cf137489fa24bf0419d565b1e1edbd2cd | /circus/web/server.py | 6d6a07d58bb2fade819c4a6daa5b3e13ab132590 | [
"MIT",
"Apache-2.0"
] | permissive | magopian/circus | 47f7b6fcab833eaec19af6e9822d769bc9dd5050 | e2eef7f008050c30e43d1a10d615dd920fb6583a | refs/heads/master | 2021-01-18T04:54:23.720743 | 2012-11-11T19:07:39 | 2012-11-11T19:07:39 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,207 | py | import socket
from bottle import ServerAdapter
class SocketIOServer(ServerAdapter):
def __init__(self, host='127.0.0.1', port=8080, **config):
super(SocketIOServer, self).__init__(host, port, **config)
self.fd = config.get('fd')
if self.fd is not None:
self.fd = int(self.fd)
def run(self, handler):
try:
from socketio.server import SocketIOServer
except ImportError:
raise ImportError('You need to install gevent_socketio')
from gevent import monkey
from gevent_zeromq import monkey_patch
monkey.patch_all()
monkey_patch()
namespace = self.options.get('namespace', 'socket.io')
policy_server = self.options.get('policy_server', False)
if self.fd is not None:
sock = socket.fromfd(self.fd, socket.AF_INET, socket.SOCK_STREAM)
else:
sock = (self.host, self.port)
socket_server = SocketIOServer(sock, handler,
namespace=namespace,
policy_server=policy_server)
handler.socket_server = socket_server
socket_server.serve_forever()
| [
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] | |
4d952b651224199a592af47dc19fd9166eb94aa9 | 6e12c2e6d453ea1caf64c0eafaf3410b30f434e0 | /shop/migrations/0011_auto_20160607_1347.py | b6dc57869b17135e8c679bb3ac3d6d5cf83edca0 | [] | no_license | andreynovikov/django-shop | 43b66ec639037473cd72f7480f83811d911104fb | 8f843b0b15354903a335c324daa65714bfb2f8cc | refs/heads/master | 2023-04-28T01:26:16.938227 | 2023-04-22T15:33:29 | 2023-04-22T15:33:29 | 43,815,663 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,046 | py | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('shop', '0010_manufacturer'),
]
operations = [
migrations.CreateModel(
name='Supplier',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, verbose_name='ID', serialize=False)),
('name', models.CharField(verbose_name='название', max_length=100)),
],
options={
'verbose_name_plural': 'поставщики',
'verbose_name': 'поставщик',
},
),
migrations.AddField(
model_name='product',
name='manufacturer',
field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='shop.Manufacturer', verbose_name='Производитель', default=1),
preserve_default=False,
),
]
| [
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] | |
0c4bb10e987777fae9cc78ed90940998e95d1024 | 6805b5299355005536d7408a2092db5cdf7f78d3 | /utils/saver.py | 94ca9f01d939bba00e341c74d18af9c619879727 | [] | no_license | harisris/draw-mnist | 050609c9bcc3a1690836467179660af186d544a9 | 7cfaa76336714ec4c290d84243115b5184142768 | refs/heads/master | 2021-01-12T10:03:39.163704 | 2016-06-08T09:19:53 | 2016-06-08T09:19:53 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,863 | py | import cslab_environ
import fnmatch
import logger
import os
import yaml
import tensorflow as tf
kModelOptFilename = 'model_opt.yaml'
kDatasetOptFilename = 'dataset_opt.yaml'
kMaxToKeep = 2
class Saver():
def __init__(self, folder, model_opt=None, data_opt=None):
if not os.path.exists(folder):
os.makedirs(folder)
self.folder = folder
self.log = logger.get()
self.tf_saver = None
if model_opt is not None:
self.save_opt(os.path.join(folder, kModelOptFilename), model_opt)
if data_opt is not None:
self.save_opt(os.path.join(folder, kDatasetOptFilename), data_opt)
pass
def save(self, sess, global_step=None):
"""Save checkpoint.
Args:
global_step:
"""
if self.tf_saver is None:
self.tf_saver = tf.train.Saver(
tf.all_variables(), max_to_keep=kMaxToKeep)
ckpt_path = os.path.join(self.folder, 'model.ckpt')
self.log.info('Saving checkpoint to {}'.format(ckpt_path))
self.tf_saver.save(sess, ckpt_path, global_step=global_step)
pass
def save_opt(self, fname, opt):
with open(fname, 'w') as f:
yaml.dump(opt, f, default_flow_style=False)
def get_latest_ckpt(self):
"""Get the latest checkpoint filename in a folder."""
ckpt_fname_pattern = os.path.join(self.folder, 'model.ckpt-*')
ckpt_fname_list = []
for fname in os.listdir(self.folder):
fullname = os.path.join(self.folder, fname)
if fnmatch.fnmatch(fullname, ckpt_fname_pattern):
if not fullname.endswith('.meta'):
ckpt_fname_list.append(fullname)
if len(ckpt_fname_list) == 0:
raise Exception('No checkpoint file found.')
ckpt_fname_step = [int(fn.split('-')[-1]) for fn in ckpt_fname_list]
latest_step = max(ckpt_fname_step)
latest_ckpt = os.path.join(self.folder,
'model.ckpt-{}'.format(latest_step))
latest_graph = os.path.join(self.folder,
'model.ckpt-{}.meta'.format(latest_step))
return (latest_ckpt, latest_graph, latest_step)
def get_ckpt_info(self):
"""Get info of the latest checkpoint."""
if not os.path.exists(self.folder):
raise Exception('Folder "{}" does not exist'.format(self.folder))
model_id = os.path.basename(self.folder.rstrip('/'))
self.log.info('Restoring from {}'.format(self.folder))
model_opt_fname = os.path.join(self.folder, kModelOptFilename)
data_opt_fname = os.path.join(self.folder, kDatasetOptFilename)
if os.path.exists(model_opt_fname):
with open(model_opt_fname) as f_opt:
model_opt = yaml.load(f_opt)
else:
model_opt = None
self.log.info('Model options: {}'.format(model_opt))
if os.path.exists(data_opt_fname):
with open(data_opt_fname) as f_opt:
data_opt = yaml.load(f_opt)
else:
data_opt = None
ckpt_fname, graph_fname, latest_step = self.get_latest_ckpt()
self.log.info('Restoring at step {}'.format(latest_step))
return {
'ckpt_fname': ckpt_fname,
'graph_fname': graph_fname,
'model_opt': model_opt,
'data_opt': data_opt,
'step': latest_step,
'model_id': model_id
}
def restore(self, sess, ckpt_fname=None):
"""Restore the checkpoint file."""
if ckpt_fname is None:
ckpt_fname = self.get_latest_ckpt()[0]
if self.tf_saver is None:
self.tf_saver = tf.train.Saver(tf.all_variables())
self.tf_saver.restore(sess, ckpt_fname)
pass
| [
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] | |
aa00df2b260e6c6ab031c83ba1170fc89fa50eee | f6814281de06f6d6eff1cc9b40f9596274455ece | /segmentation/local_maxima.py | 7ba208efda2582ce2001beca2c44eabccf246bdb | [
"MIT"
] | permissive | file-campuran/scikit-image-clustering-scripts | 806ad366202f3054bf0f602e414c083428372177 | 2197f23b904463b358421bc8a8bd85a3cb4cc2f1 | refs/heads/master | 2022-10-07T23:17:18.814705 | 2020-06-02T18:00:37 | 2020-06-02T18:00:37 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,000 | py | #!/usr/bin/env python
# http://stackoverflow.com/questions/9111711/get-coordinates-of-local-maxima-in-2d-array-above-certain-value
import numpy as np
from osgeo import gdal
import scipy.ndimage as ndimage
import scipy.ndimage.filters as filters
# initialize driver
driver = gdal.GetDriverByName('GTiff')
def write_image(img, filename):
"""
Write img array to a file with the given filename
Args:
img (Band)
filename (str)
"""
x_size = img.shape[1]
y_size = img.shape[0]
dataset = driver.Create(filename, x_size, y_size)
dataset.GetRasterBand(1).WriteArray(img)
# load original image
dataset = gdal.Open('img/mozambique-after-subset.tif')
band = dataset.GetRasterBand(1)
img = band.ReadAsArray().astype(np.uint8)
# position of local maxima
data_max = filters.maximum_filter(img, 5)
maxima = (img == data_max)
data_min = filters.minimum_filter(img, 5)
diff = ((data_max - data_min) > 150)
maxima[diff == 0] = 0
write_image(maxima, 'img/maxima.tif')
| [
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] | |
8d46d4d91c2a121fd214c9ccf2d35f826893683b | 750932da205e48eb860f72fa35579e2f7c78b69c | /django-silk-example/manage.py | 8201ceddde55f39f2b499d0d80c3635e4f50de0d | [
"MIT"
] | permissive | 510908220/django-performance-optimization | 8251682c41be4695947c07d958fa96f2e6b162af | 53f62dc8741b1c72f1f97155a1e2c05c1483bd92 | refs/heads/master | 2022-12-13T14:48:40.864496 | 2018-04-28T02:04:20 | 2018-04-28T02:05:28 | 130,834,744 | 1 | 0 | MIT | 2022-12-08T02:04:24 | 2018-04-24T10:07:39 | Python | UTF-8 | Python | false | false | 544 | py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "silk_example.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)
| [
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] | |
8d81c075adcadeca3d6affb1dc0c87707221c661 | 75e8f932e1e08c7e71380e6b71d85ddd04f052dd | /SDAPythonIntermediateRegularExpressions/sample_5.py | a68baa55b53395b2eb11480aac8076c72260917d | [] | no_license | aeciovc/sda_python_ee4 | fe470a253126ad307c651d252f9f9b489da32835 | 9e1e8be675fcafe4a61c354b55b71f53ad2af0fe | refs/heads/master | 2023-08-29T15:17:34.033331 | 2021-10-31T09:41:57 | 2021-10-31T09:41:57 | 365,678,373 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 66 | py | import re
print(re.sub(r"[a-z]{8}", "dog", "Alice has elephant")) | [
"[email protected]"
] | |
6ba44a2283a1c3e70f0210af98521fbb9c634623 | 294c35259125e1c55cfdd5247cee651a07b3cc01 | /src/map/migrations/0001_initial.py | 52a0310446ae9821e95ec290c04c7762db920978 | [
"MIT"
] | permissive | andgein/sis-2016-winter-olymp | a82557d61b7748c6813e31779bcc74e92874a96c | 70962d861b3cf69e982949878ae4dccc2818b618 | refs/heads/master | 2021-08-30T15:00:10.691639 | 2017-12-18T11:05:27 | 2017-12-18T11:05:27 | 114,627,656 | 2 | 2 | null | null | null | null | UTF-8 | Python | false | false | 6,224 | py | # -*- coding: utf-8 -*-
# Generated by Django 1.10.4 on 2016-12-31 05:13
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import djchoices.choices
import relativefilepathfield.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('contenttypes', '0002_remove_content_type_name'),
]
operations = [
migrations.CreateModel(
name='AbstractTile',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('row', models.PositiveIntegerField(help_text='Номер строки')),
('column', models.PositiveIntegerField(help_text='Номер колонки')),
('ejudge_short_name', models.CharField(db_index=True, max_length=255)),
('name', models.CharField(max_length=255)),
('statement_file_name', relativefilepathfield.fields.RelativeFilePathField(match='.*\\.pdf', path=settings.PROBLEMS_STATEMENTS_DIR)),
('automatic_open_time', models.PositiveIntegerField(blank=True, default=None, help_text='Время в минутах, после которого задача откроется автоматически. Если NULL, то не откроется', null=True)),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='TileStatus',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('status', models.PositiveIntegerField(choices=[(0, 'Closed'), (1, 'Opened'), (2, 'Read'), (3, 'Tried'), (4, 'Solved')], db_index=True, validators=[djchoices.choices.ChoicesValidator({0: 'Closed', 1: 'Opened', 2: 'Read', 3: 'Tried', 4: 'Solved'})])),
],
options={
'ordering': ['status'],
},
),
migrations.CreateModel(
name='AbstractBonus',
fields=[
('abstracttile_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='map.AbstractTile')),
],
options={
'abstract': False,
},
bases=('map.abstracttile',),
),
migrations.CreateModel(
name='Problem',
fields=[
('abstracttile_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='map.AbstractTile')),
('solved_award', models.PositiveIntegerField(help_text='Приз за правильное решение задачи')),
('wrong_penalty', models.PositiveIntegerField(help_text='Штраф за неправильную попытку')),
],
options={
'abstract': False,
},
bases=('map.abstracttile',),
),
migrations.AddField(
model_name='tilestatus',
name='tile',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='statuses', to='map.AbstractTile'),
),
migrations.AddField(
model_name='tilestatus',
name='user',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='tiles_statuses', to=settings.AUTH_USER_MODEL),
),
migrations.AddField(
model_name='abstracttile',
name='polymorphic_ctype',
field=models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='polymorphic_map.abstracttile_set+', to='contenttypes.ContentType'),
),
migrations.CreateModel(
name='CallMasterBonus',
fields=[
('abstractbonus_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='map.AbstractBonus')),
],
options={
'abstract': False,
},
bases=('map.abstractbonus',),
),
migrations.CreateModel(
name='GetAnyTestBonus',
fields=[
('abstractbonus_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='map.AbstractBonus')),
],
options={
'abstract': False,
},
bases=('map.abstractbonus',),
),
migrations.CreateModel(
name='GetTangerinesBonus',
fields=[
('abstractbonus_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='map.AbstractBonus')),
],
options={
'abstract': False,
},
bases=('map.abstractbonus',),
),
migrations.CreateModel(
name='OpenAnyTileBonus',
fields=[
('abstractbonus_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='map.AbstractBonus')),
],
options={
'abstract': False,
},
bases=('map.abstractbonus',),
),
migrations.CreateModel(
name='OpenWideLocalityBonus',
fields=[
('abstractbonus_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='map.AbstractBonus')),
],
options={
'abstract': False,
},
bases=('map.abstractbonus',),
),
]
| [
"[email protected]"
] | |
02a32ea594f73011395598d554f22b7b5b9e2724 | d52a193fbcc4fda5dddef59c5bd691933c81fe0b | /isomaticAppWeb/preguntaDiez.py | 762c49090454dde7f39501730cea10e8dbf6c5c9 | [] | no_license | solprmat/solpromatcore | 69c299357bb6f307b2822d985692b06db6f4c73c | 56dabd4f0189831215578bec5a623e99aeea143f | refs/heads/master | 2022-12-10T16:56:46.629211 | 2019-11-09T20:58:08 | 2019-11-09T20:58:08 | 205,091,159 | 0 | 0 | null | 2022-12-08T06:05:07 | 2019-08-29T05:57:38 | Python | UTF-8 | Python | false | false | 412 | py | from django import forms
class PreguntanDiez(forms.Form):
RESPUESTA_PREGUNTA_DIEZ = (
('a', 'a. Ana'),
('b', 'b. Jana'),
)
respuesta = forms.TypedChoiceField(
# label='preubas',
choices=RESPUESTA_PREGUNTA_DIEZ,
widget=forms.RadioSelect(attrs={
'class': 'custom-control-indicator',
})
)
fecha_registro_P010 = forms.DateTimeField | [
"[email protected]"
] | |
b05a1a04d85fa13fa3689baf4a17a6bdfd88cd21 | de24f83a5e3768a2638ebcf13cbe717e75740168 | /moodledata/vpl_data/303/usersdata/302/77727/submittedfiles/testes.py | a6dfe79fe6c3e23239396c351525102e509059c7 | [] | no_license | rafaelperazzo/programacao-web | 95643423a35c44613b0f64bed05bd34780fe2436 | 170dd5440afb9ee68a973f3de13a99aa4c735d79 | refs/heads/master | 2021-01-12T14:06:25.773146 | 2017-12-22T16:05:45 | 2017-12-22T16:05:45 | 69,566,344 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 108 | py | n = float(input('Digite um número: '))
if n >= 0:
n = n**(1/2)
print(n)
else:
n = n**2 | [
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] | |
b5612e469ab15c7cfa726e1f6d7ef51c8a9253ec | fe4073028c22079c9908bba9d1f558256b3d3a73 | /app.py | d3eb02e6315a5462f6f5a86462442f07596f4069 | [] | no_license | romanannaev/BlogFlaskFinish | fb35c8fbe3a77753f0664641215cc44f4617b98f | 3aaecab0b1c3694aa584229963d7c521a301c33e | refs/heads/master | 2021-10-22T08:45:07.250060 | 2020-01-08T14:29:54 | 2020-01-08T14:29:54 | 231,746,001 | 0 | 0 | null | 2021-03-20T02:37:58 | 2020-01-04T10:37:40 | Python | UTF-8 | Python | false | false | 2,169 | py | import os
from flask import Flask, request
from flask_sqlalchemy import SQLAlchemy
#create admin
from flask_admin import Admin
from flask_admin.contrib.sqla import ModelView
#flask security, the storage of users, roles
from flask_security import SQLAlchemyUserDatastore
from flask_security import Security
app = Flask(__name__)
app.config.from_object(os.environ['APP_SETTINGS'])
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db = SQLAlchemy(app)
import view
from posts.blueprint import posts
app.register_blueprint(posts, url_prefix='/blog') #registration posts app(blueprint)
### Admin ####
from models import *
#integration Admin and Flask Security
from flask_security import current_user
from flask import redirect, url_for, request
class AdminMixin:
def is_accessible(self):
return current_user.has_role('admin')
def inaccessible_callback(self, name, **kwargs):
#localhost/admin/
return redirect(url_for('security.login', next=request.url))
#Point to admin panel to use our class-constructors
#Allows our to change slug at the moment creating or editing Post from admin Panel
class BaseModelView(ModelView):
def on_model_change(self, form, model , is_created):
model.generate_slug()
return super(BaseModelView, self).on_model_change(form, model, is_created)
#class constrains allow to models POst and Tag in AdminPanel
class AdminView(AdminMixin, ModelView):
pass
#class constrains allow to AdminPanel at all
from flask_admin import AdminIndexView
class HomeAdminView(AdminMixin, AdminIndexView):
pass
class PostAdminView(AdminMixin, BaseModelView):
form_columns = ['title', 'body', 'tags', 'image']
class TagAdminView(AdminMixin, BaseModelView):
form_columns = ['name', 'posts']
admin = Admin(app, 'FlaskApp', url='/', index_view=HomeAdminView(name='Home'))
admin.add_view(PostAdminView(Post, db.session)) #before was ModelView instead of AdminView --->PostAdminView
admin.add_view(TagAdminView(Tag, db.session))
## flask security ##
user_datastore = SQLAlchemyUserDatastore(db, User, Role)
security = Security(app, user_datastore)
if __name__ == '__main__':
app.run() | [
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] | |
e34ddccd94638c82612a301dcb783977751ee558 | 685038d4be188fa72e9dba1d2213a47ee3aa00a2 | /ECOS2021/Demands/Inputs/Surveys/A/S4/Jul_S4_A.py | 39db06fef88624a9f7eead973c903d14f3b922fc | [] | no_license | CIE-UMSS/Tradeoff-between-Installed-Capacity-and-Unserved-Energy | e5599e4e4ac60b97f0c4c57c5de95e493b1b5ac4 | 459f31552e3ab57a2e52167ab82f8f48558e173c | refs/heads/master | 2023-06-01T18:09:29.839747 | 2021-06-19T15:56:26 | 2021-06-19T15:56:26 | 343,720,452 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,963 | py | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 31 14:33:07 2020
@author: alejandrosoto
Script for 2 class of household in Raqaypampa.
"""
# -*- coding: utf-8 -*-
"""
@author: Alejandro Soto
"""
from core import User, np
User_list = []
#User classes definition
HI = User("high income",1)
User_list.append(HI)
LI = User("low income",0)
User_list.append(LI)
'''
Base scenario (BSA): Indoor bulb (3), outdoor bulb (1), radio (1), tv (1), phone charger (2), Water Heater (1), Mixer (1)
Base scenario (B): Indoor bulb (3), outdoor bulb (1), radio (1), tv (1), phone charger (2)
A
Scenario 1: BSA + Fridge (1) + Freezer* (1).
Scenario 2: BSA + Fridge (1).
Scenario 3: BSA + Fridge (1)*.
Scenario 4: BSA + Freezer (1).
Scenario 5: BSA + Wheler (1).
Scerario 6: BSA + Grinder (1).
Scanerio 7: Add + Dryer (1),
Scenario 9: All
B
Scenario 8: BSB + Water Heater** (1).
Scenario 10: BSA + Pump Water (1).
Scenario 11: BSA + DVD (1).
Scenario 12: BSA + Blender (1).
Scenario 13: BSA + Iron (1).
Scerario 14: BSA + Mill (1).
* With seasonal variation
** Occasional use
Cold Months: May-Aug Std Cycle 8:00-18:00 Above 10 degrees
Warm Months: Jan-Apr Std Cycle 0:00-23:59 Above 10 degrees
Hot Nonths: Sep-Dec Std Cycle 0:00-10:00; 15:01-23:59 Above 10 degrees
Int Cycle 10:01-15:00
'''
#High-Income
#indoor bulb
HI_indoor_bulb = HI.Appliance(HI,3,7,1,320,0.6,190)
HI_indoor_bulb.windows([1080,1440],[0,0])
#outdoor bulb
HI_outdoor_bulb = HI.Appliance(HI,1,13,1,340,0.1,300)
HI_outdoor_bulb.windows([1100,1440],[0,0])
HI_Radio = HI.Appliance(HI,1,7,1,280,0.3,110)
HI_Radio.windows([420,708],[0,0])
#tv
HI_TV = HI.Appliance(HI,1,60,3,300,0.38,114)
HI_TV.windows([1140,1440],[651,1139],0.35,[300,650])
#phone charger
HI_Phone_charger = HI.Appliance(HI,2,5,3,250,0.4,95)
HI_Phone_charger.windows([1190,1440],[0,420],0.35,[421,1189])
#water_heater
HI_Water_heater = HI.Appliance(HI,1,150,1,60,0.05,30)
HI_Water_heater.windows([0,1440],[0,0])
#mixer
HI_Mixer = HI.Appliance(HI,1,50,1,10,0.5,5,occasional_use = 0.3)
HI_Mixer.windows([420,560],[0,0])
#freezer
HI_Freezer = HI.Appliance(HI,1,200,1,1440,0,30,'yes',3)
HI_Freezer.windows([0,1440],[0,0])
HI_Freezer.specific_cycle_1(200,20,5,10)
HI_Freezer.specific_cycle_2(200,15,5,15)
HI_Freezer.specific_cycle_3(200,10,5,20)
HI_Freezer.cycle_behaviour([600,900],[0,0],[0,0],[0,0],[0,599],[901,1440])
#Lower Income
#indoor bulb
LI_indoor_bulb = LI.Appliance(LI,3,7,2,287,0.4,124)
LI_indoor_bulb.windows([1153,1440],[0,300],0.5)
#outdoor bulb
LI_outdoor_bulb = LI.Appliance(LI,1,13,1,243,0.3,71)
LI_outdoor_bulb.windows([1197,1440],[0,0])
#radio
LI_Radio = LI.Appliance(LI,1,7,2,160,0.3,49)
LI_Radio.windows([480,840],[841,1200],0.5)
#TV
LI_TV = LI.Appliance(LI,1,100,3,250,0.3,74)
LI_TV.windows([1170,1420],[551,1169],0.3,[300,550])
#phone charger
LI_Phone_charger = LI.Appliance(LI,2,5,3,200,0.4,82)
LI_Phone_charger.windows([1020,1440],[0,420],0.3,[720,1019])
| [
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] | |
e25e5edb0703725283c9e674fc6085ad431c3b52 | ed4587c16e0708f0b618d8703b0ea9e86f5c3237 | /Layers/HiddenLayer.py | c0b7f6809f033afd968f23563e71d82e0f8955df | [] | no_license | CaoDuyThanh/NN_Autoencoder | b85256e4c4a1a71072c876c45098606244966cf8 | 0a0fc8e23e39249c6562249cf538e3b5898037f5 | refs/heads/master | 2021-01-23T22:15:06.380045 | 2017-02-26T13:33:50 | 2017-02-26T13:33:50 | 83,121,739 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,858 | py | import theano
import numpy
import cPickle
import theano.tensor as T
from theano.tensor.shared_randomstreams import RandomStreams
class HiddenLayer:
def __init__(self,
rng, # Random seed
input, # Data input
numIn, # Number neurons of input
numOut, # Number reurons out of layer
activation = T.tanh, # Activation function
W = None,
b = None,
corruption = None
):
# Set parameters
self.Rng = rng;
self.Input = input
self.NumIn = numIn
self.NumOut = numOut
self.Activation = activation
self.Corruption = corruption
# Create shared parameters for hidden layer
if W is None:
""" We create random weights (uniform distribution) """
# Create boundary for uniform generation
wBound = numpy.sqrt(6.0 / (self.NumIn + self.NumOut))
self.W = theano.shared(
numpy.asarray(
rng.uniform(
low=-wBound,
high=wBound,
size=(self.NumIn, self.NumOut)
),
dtype=theano.config.floatX
),
borrow=True
)
else:
""" Or simply set weights from parameter """
self.W = W
if b is None:
""" We create zeros bias """
# Create bias
self.b = theano.shared(
numpy.zeros(
shape = (self.NumOut, ),
dtype=theano.config.floatX
),
borrow=True
)
else:
""" Or simply set bias from parameter """
self.b = b
def getCorruptedInput(self, input, corruptionLevel):
theano_rng = RandomStreams(self.Rng.randint(2 ** 30))
return theano_rng.binomial(size=input.shape, n=1,
p=1 - corruptionLevel,
dtype=theano.config.floatX) * input
def Output(self):
input = self.Input
if self.Corruption is not None:
self.Input = self.getCorruptedInput(self.Input, self.Corruption)
output = T.dot(input, self.W) + self.b
if self.Activation is None:
return output
else:
return self.Activation(output)
'''
Return transpose of weight matrix
'''
def WTranspose(self):
return self.W.T
def Params(self):
return [self.W, self.b]
def LoadModel(self, file):
self.W.set_value(cPickle.load(file), borrow = True)
self.b.set_value(cPickle.load(file), borrow = True) | [
"[email protected]"
] | |
ea5aa679209b5f87452309f4ae5d2b6780c1cbc6 | 6b2a8dd202fdce77c971c412717e305e1caaac51 | /solutions_5634697451274240_0/Python/elsw/revenge_pancakes.py | 5b7acca8e7d41f5d660ecf7e2208da6c469f5d79 | [] | no_license | alexandraback/datacollection | 0bc67a9ace00abbc843f4912562f3a064992e0e9 | 076a7bc7693f3abf07bfdbdac838cb4ef65ccfcf | refs/heads/master | 2021-01-24T18:27:24.417992 | 2017-05-23T09:23:38 | 2017-05-23T09:23:38 | 84,313,442 | 2 | 4 | null | null | null | null | UTF-8 | Python | false | false | 546 | py | #/usr/bin/env python
# Google Code Jam Qualification Round 2016
# B. Revenge of the Pancakes
# https://code.google.com/codejam/contest/6254486/dashboard#s=p1
def happy(stack):
s = stack + '+'
t = s[0]
c = 0
for p in s[1:]:
if p != t:
c += 1
t = p
return c
with open('B-small-attempt0.in', 'r') as f:
t = int(f.readline())
with open('test.out', 'w') as g:
for i in xrange(t):
stack = f.readline().strip()
g.write('Case #%d: %d\n' % (i+1, happy(stack)))
| [
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] | |
9c53ab1aae60600743db9747d0c63fc33815b1d3 | 32809f6f425bf5665fc19de2bc929bacc3eeb469 | /src/0435-Non-overlapping-Intervals/0435.py | 7ead2f6d87451d06255ac7a691c7621aab8a49fb | [] | no_license | luliyucoordinate/Leetcode | 9f6bf01f79aa680e2dff11e73e4d10993467f113 | bcc04d49969654cb44f79218a7ef2fd5c1e5449a | refs/heads/master | 2023-05-25T04:58:45.046772 | 2023-05-24T11:57:20 | 2023-05-24T11:57:20 | 132,753,892 | 1,575 | 569 | null | 2023-05-24T11:57:22 | 2018-05-09T12:30:59 | C++ | UTF-8 | Python | false | false | 533 | py | class Solution:
def eraseOverlapIntervals(self, intervals: List[List[int]]) -> int:
intervals.sort(key=lambda x: x[0])
result, pre = 0, None
for cur in intervals:
if prev and prev[1] > cur[0]:
result += 1
if cur[1] < prev[1]:
prev = cur
else:
prev = cur
return result
if __name__ == "__main__":
intervals = [[1,2], [2,3], [3,4], [1,3]]
print(Solution().eraseOverlapIntervals(intervals)) | [
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] | |
4a1a2aa093ea9f5082e68fb215190fec44f67e96 | b88ddf1bbc0e203b403584428078d73593715454 | /builder/igloo_director.py | ea3e87cb018003a80ebf063c557b4af64e4ccf29 | [] | no_license | keys4words/designPatterns | ef28289a92d68652f3d34a9a609aebe986e785bb | 0d6ebd5dc1f8c3be725f7405bb785436eec37a89 | refs/heads/main | 2023-04-15T01:15:27.231107 | 2021-04-20T13:31:25 | 2021-04-20T13:31:25 | 348,728,039 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 285 | py | from house_builder import HouseBuilder
class IglooDirector:
"One of the Directors, that can build a complex representation."
@staticmethod
def construct():
return HouseBuilder().set_building_type("Igloo").set_wall_material("Ice").set_number_doors(1).get_result() | [
"[email protected]"
] | |
924e843bf762ca9d9e88f6d17f4e35920d84013f | 4bb6a8cbd7ac887ec4abc6abc97f0cb17415e82d | /Chapter 5 Strings/numbers2text.py | 7d27d3705f77296072ca8408e9a44d5c200e6e9c | [] | no_license | jbhennes/CSCI-220-Programming-1 | cdc9cab47b4a79dccabf014224a175674e9a7155 | ac9e85582eeb51a205981674ffdebe8a5b93a205 | refs/heads/master | 2021-01-01T03:54:50.723923 | 2016-05-02T16:06:55 | 2016-05-02T16:06:55 | 57,902,553 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 733 | py | # numbers2text.py
# A program to convert a sequence of ASCII numbers into
# a string of text.
import string # include string library for the split function.
def main():
print "This program converts a sequence of ASCII numbers into"
print "the string of text that it represents."
print
# Get the message to encode
inString = raw_input("Please enter the ASCII-encoded message: ")
# Loop through each substring and build ASCII message
message = ""
for numStr in string.split(inString):
asciiNum = eval(numStr) # convert digits to a number
message = message + chr(asciiNum) # append character to message
print "The decoded message is:", message
main()
| [
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] | |
832e473b8c911f7063df943d58fecbe31724ce10 | 2868a3f3bca36328b4fcff5cce92f8adeb25b033 | /+200ns/Ni_default/step1_dc/set.py | 23f82640e2dddefec72eb6201e99726773cd9099 | [] | no_license | linfranksong/TM-enzyme_input | 1c2a5e12e69c48febd5b5900aa00fe2339d42298 | 6e46a5b2c451efb93761707b77917a98ca0bfedc | refs/heads/master | 2022-03-19T19:49:09.373397 | 2019-12-04T00:11:59 | 2019-12-04T00:11:59 | 205,220,795 | 0 | 1 | null | null | null | null | UTF-8 | Python | false | false | 2,114 | py | import os
dir = os.path.dirname(os.path.realpath(__file__)) + '/'
for a in [150,200,250,300,350,400,450,500,550,600]:
#for a in [150]:
#for a in [200,250,300,350,400,450,500,550,600]:
os.system("rm -r %s_dc"%(a))
os.system("cp -r temp/ %s_dc"%(a))
adir=dir+ "%s_dc/"%(a)
os.chdir(adir)
os.system("sed -i 's/MMM/%s/g' */*pbs"%(a))
array= [0,0.00922, 0.04794, 0.11505, 0.20634, 0.31608, 0.43738, 0.56262, 0.68392, 0.79366, 0.88495, 0.95206, 0.99078,1.0]
for n in range(1,len(array)-1):
i=array[n]
os.system("rm -r %s"%(i))
os.system("cp -r files %s"%(i))
wdir=adir+"%s/"%(i)
os.chdir(wdir)
os.system("mv eq.in %s_eq.in"%(i))
os.system("mv us.in %s_us.in"%(i))
os.system("sed -i 's/XXX/%s/g' %s_eq.in"%(i,i))
os.system("sed -i 's/XXX/%s/g' %s_us.in"%(i,i))
os.system("sed -i 's/MMM/%s/g' dis.RST"%(a))
os.system("mv eq.pbs %s_eq.pbs"%(i))
os.system("mv us.pbs %s_us.pbs"%(i))
os.system("sed -i 's/XXX/%s/g' *.pbs"%(i))
os.system("sed -i 's/NNN/%s/g' *.pbs"%(array[n+1]))
os.system("sed -i 's/PPP/%s/g' *.pbs"%(array[n-1]))
os.chdir(adir)
sdir=adir+"0/"
os.chdir(sdir)
i=0
os.system("cp /mnt/gs18/scratch/users/songlin3/run/glx-0904/+200ns/Ni_default/step0_fep/%s_fep/1.0/%s_1.0_eq_center.rst ."%(a,a))
os.system("mv eq.in %s_eq.in"%(i))
os.system("mv us.in %s_us.in"%(i))
os.system("sed -i 's/XXX/%s/g' %s_eq.in"%(i,i))
os.system("sed -i 's/XXX/%s/g' %s_us.in"%(i,i))
os.system("mv eq.pbs %s_eq.pbs"%(i))
os.system("mv us.pbs %s_us.pbs"%(i))
os.system("sed -i 's/XXX/%s/g' *.pbs"%(i))
os.system("sed -i 's/MMM/%s/g' dis.RST"%(a))
os.system("sbatch 0_eq.pbs")
sdir=adir+"1.0/"
os.chdir(sdir)
i=1.0
os.system("mv eq.in %s_eq.in"%(i))
os.system("mv us.in %s_us.in"%(i))
os.system("sed -i 's/XXX/%s/g' %s_eq.in"%(i,i))
os.system("sed -i 's/XXX/%s/g' %s_us.in"%(i,i))
os.system("mv eq.pbs %s_eq.pbs"%(i))
os.system("mv us.pbs %s_us.pbs"%(i))
os.system("sed -i 's/XXX/%s/g' *.pbs"%(i))
os.system("sed -i 's/MMM/%s/g' dis.RST"%(a))
os.system("sed -i 's/MMM/%s/g' center.in"%(a))
os.chdir(dir)
| [
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] | |
807bd4413ac24f6180b70539c7ef6c6621b7e9db | 372185cd159c37d436a2f2518d47b641c5ea6fa4 | /142. 环形链表 II.py | 83c889995bd0403eefdbd90103e6fe0fd1b3b7b1 | [] | no_license | lidongze6/leetcode- | 12022d1a5ecdb669d57274f1db152882f3053839 | 6135067193dbafc89e46c8588702d367489733bf | refs/heads/master | 2021-07-16T09:07:14.256430 | 2021-04-09T11:54:52 | 2021-04-09T11:54:52 | 245,404,304 | 1 | 0 | null | null | null | null | UTF-8 | Python | false | false | 758 | py | class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def detectCycle(self, head: ListNode) -> ListNode:
if head == None or head.next == None:
return None
fast = slow = head
temp = False # 记录是否有环
while fast.next and fast.next.next:
slow = slow.next
fast = fast.next.next
if fast == slow:
temp = True
break
if temp == True: # 若有环，则计算环起点位置
fast = head
while slow != fast:
slow = slow.next
fast = fast.next
return slow
return None # 若temp False 则无环，返回空
| [
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] | |
d8e84ed478a875c489750a51825632d3d1309f59 | 98383e62e61321f65450bb0fd901215ccbe6293b | /hanlp/components/coref/__init__.py | 83097d68d94078f4c9e9298921041daa3ced94cd | [
"Apache-2.0",
"CC-BY-NC-4.0",
"Python-2.0",
"CC-BY-NC-SA-4.0"
] | permissive | leobert-lan/HanLP | 155a66b5c93720abeb816616cb3b9ef4f7942e83 | 39c3ede99c3f99d7ea39bbbd470601dc7ef0ad62 | refs/heads/master | 2021-06-16T17:51:54.485767 | 2021-03-26T02:36:12 | 2021-03-26T02:36:12 | 178,836,942 | 1 | 0 | Apache-2.0 | 2021-03-26T02:36:13 | 2019-04-01T10:09:21 | Java | UTF-8 | Python | false | false | 64 | py | # -*- coding:utf-8 -*-
# Author: hankcs
# Date: 2020-07-05 19:56 | [
"[email protected]"
] | |
32fe88969c29acd42125c481d6f2bd756033c283 | ca7aa979e7059467e158830b76673f5b77a0f5a3 | /Python_codes/p02685/s529348276.py | 65a166ca77210af61f1ce19dd156965d2e9ccf58 | [] | no_license | Aasthaengg/IBMdataset | 7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901 | f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8 | refs/heads/main | 2023-04-22T10:22:44.763102 | 2021-05-13T17:27:22 | 2021-05-13T17:27:22 | 367,112,348 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 542 | py | mod=998244353
fact=[1]
for i in range(1,2*10**5+1): #mod上での階乗を求める
fact.append((fact[-1]*i)%mod)
revfact=[1]
for i in range(1,2*10**5+1): #mod上での階乗の逆元をフェルマーの小定理を用いて求める
revfact.append(pow(fact[i],mod-2,mod))
n,m,k=map(int,input().split())
ans=0
for i in range(k,-1,-1): #各m(N-K<=m<=N)について場合の数を求める
group=n-i
tmp=fact[n-1]*revfact[group-1]*revfact[n-1-(group-1)]
tmp%=mod
tmp*=m
tmp%=mod
tmp*=pow(m-1,group-1,mod)
ans+=tmp
ans%=mod
print(ans) | [
"[email protected]"
] | |
156869ad9e5674ab69c9b1b1d37b2d2d4946460c | 7ae374f11cc2e9673fb2c39d00e942253418b41a | /connect_H351/telnet_H351.py | 199d5322ff7cbbf4f64dcf01e540e2edbee3d854 | [] | no_license | zeewii/H351 | 44c05acf0f814558f1fa8d8e2a9c942fee707985 | 80231ff0434a15835d6b484cbc498b2f963d048c | refs/heads/master | 2021-01-10T00:57:18.501664 | 2015-09-28T10:39:24 | 2015-09-28T10:39:24 | 43,277,121 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,360 | py | #coding=utf-8
#描述：本模块为通过使用pexpect模块登录telnet输入命令，并取出输入结果
#作者：曾祥卫
import datetime
import pexpect
#输入：user-登录名,ip-登录ip,password1-登录密码1,password2-登录密码2,command-输入命令
#输出：输入命令返回的结果
def telnet_command(user,ip,password1,password2,command):
try:
#远程主机登录后出现的字符串
finish = ":/#"
# 为telnet命令生成一个spawn类的子程序对象
child = pexpect.spawn('telnet %s'%ip)
#列出期望出现的字符串，"login","Unknown host",EOF,超时
i = child.expect(["(?i)Username", "(?i)Unknown host", pexpect.EOF, pexpect.TIMEOUT])
#匹配到了EOF或TIMEOUT，表示EOF或超时或"(?i)Unknown host"，程序打印提示信息并退出
if i !=0:
print u"telnet登录失败，由于登录时超时或EOF或主机名无效"
child.close(force=True)
#如果匹配Username字符成功，输入用户名
else:
child.sendline(user)
#列出期望出现的字符串，'password',EOF,超时
i = child.expect(["(?i)Password", pexpect.EOF, pexpect.TIMEOUT])
#如果匹配EOF,超时,打印信息并退出
if i != 0:
print u"telnet登录失败，由于输入密码时超时或EOF"
#强制退出
child.close(force=True)
#匹配到了password，输入password1
child.sendline(password1)
#期望出现字符串'router>',输入'sh'
child.expect('router>')
child.sendline('sh')
#列出期望出现的字符串，'password',EOF,超时
i = child.expect(["(?i)Password", pexpect.EOF, pexpect.TIMEOUT])
#如果匹配EOF,超时,打印信息并退出
if i != 0:
print u"telnet登录失败，由于输入密码时超时或EOF"
#强制退出
child.close(force=True)
#匹配到了password，输入password1
child.sendline(password2)
#期待远程主机的命令提示符出现
child.expect(finish)
#如果匹配提示符成功，输入执行命令
child.sendline(command)
#期待远程主机的命令提示符出现
child.expect(finish)
# 将命令结果输出
result = child.before
print result
#将执行命令的时间和结果以追加的形式保存到telnet_log.txt文件中备份文件
f = open('telnet_log.txt','a')
str1 = str(datetime.datetime.now())+' '
f.writelines(str1+result)
f.close()
# 将 telnet 子程序的执行权交给用户
#child.interact()
#退出telent子程序
child.close(force=True)
#返回命令的输出结果
return result
#异常打印原因
except pexpect.ExceptionPexpect, e:
print 'telnet连接失败',str(e)
if __name__ == '__main__':
user = '100msh'
ip = '192.168.11.1'
password1 = '100msh'
password2 = '@w$r^y*i90'
command = 'ifconfig br-lan'
result = telnet_command(user,ip,password1,password2,command)
print result | [
"[email protected]"
] | |
5131a9c888902430b3d4a3d54233d26783ca9679 | bf99b1b14e9ca1ad40645a7423f23ef32f4a62e6 | /AtCoder/abc/065d.py | 9fc11d2c49550f58cf2f400ec67dd7e78aefe5b5 | [] | no_license | y-oksaku/Competitive-Programming | 3f9c1953956d1d1dfbf46d5a87b56550ff3ab3db | a3ff52f538329bed034d3008e051f30442aaadae | refs/heads/master | 2021-06-11T16:14:12.635947 | 2021-05-04T08:18:35 | 2021-05-04T08:18:35 | 188,639,647 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 1,003 | py | import heapq
N = int(input())
cities = [0 for _ in range(N)]
for i in range(N):
x, y = map(int, input().split())
cities[i] = (i, x, y)
edges = [[] for _ in range(N)]
cities.sort(key=lambda A : A[1])
for i in range(N - 1):
a, xFrom, yFrom = cities[i]
b, xTo, yTo = cities[i + 1]
cost = min(abs(xFrom - xTo), abs(yFrom - yTo))
edges[a].append((cost, b))
edges[b].append((cost, a))
cities.sort(key=lambda A : A[2])
for i in range(N - 1):
a, xFrom, yFrom = cities[i]
b, xTo, yTo = cities[i + 1]
cost = min(abs(xFrom - xTo), abs(yFrom - yTo))
edges[a].append((cost, b))
edges[b].append((cost, a))
vertex = set([0])
newEdge = []
que = []
for cost, to in edges[0]:
heapq.heappush(que, (cost, to))
ans = 0
while len(vertex) < N:
cost, now = heapq.heappop(que)
if now in vertex:
continue
ans += cost
vertex.add(now)
for c, to in edges[now]:
if not to in vertex:
heapq.heappush(que, (c, to))
print(ans) | [
"[email protected]"
] | |
1e1e14496a4ff4181136795e1206bfc147a0a3b7 | 75dcb56e318688499bdab789262839e7f58bd4f6 | /_algorithms_challenges/leetcode/LeetcodePythonProject/leetcode_0751_0800/LeetCode759_EmployeeFreeTime.py | ff1eb9feb5d31dc20ea349c46e94b43ceaedee09 | [] | no_license | syurskyi/Algorithms_and_Data_Structure | 9a1f358577e51e89c862d0f93f373b7f20ddd261 | 929dde1723fb2f54870c8a9badc80fc23e8400d3 | refs/heads/master | 2023-02-22T17:55:55.453535 | 2022-12-23T03:15:00 | 2022-12-23T03:15:00 | 226,243,987 | 4 | 1 | null | 2023-02-07T21:01:45 | 2019-12-06T04:14:10 | Jupyter Notebook | UTF-8 | Python | false | false | 1,595 | py | '''
Created on Mar 30, 2018
@author: tongq
'''
# Definition for an interval.
class Interval(object):
def __init__(self, s=0, e=0):
self.start = s
self.end = e
class Solution(object):
def employeeFreeTime(self, schedule):
"""
:type schedule: List[List[Interval]]
:rtype: List[Interval]
"""
import heapq
heap = []
for arr in schedule:
for inter in arr:
heapq.heappush(heap, [inter.start, inter.end])
temp = heapq.heappop(heap)
res = []
while heap:
if temp[1] < heap[0][0]:
res.append(Interval(temp[1], heap[0][0]))
temp = heapq.heappop(heap)
else:
if temp[1] < heap[0][1]:
temp = heap[0]
heapq.heappop(heap)
return res
def test(self):
testCases = [
[
[[1,2],[5,6]],
[[1,3]],[[4,10]],
],
[
[[1,3],[6,7]],[[2,4]],
[[2,5],[9,12]],
],
]
for schedule in testCases:
print('schedule: %s' % schedule)
arr = []
for arr0 in schedule:
arr.append([Interval(inter[0], inter[1]) for inter in arr0])
schedule = arr
result = self.employeeFreeTime(schedule)
res = [[inter.start, inter.end] for inter in result]
print('result: %s' % res)
print('-='*30+'-')
if __name__ == '__main__':
Solution().test()
| [
"[email protected]"
] | |
4e96486fda291297b6b7b7b5830180b891f7de07 | 54df8336b50e8f2d7dbe353f0bc51a2b3489095f | /Django/Django_Old/disa-py/member/admin.py | f571a992fa1e04afacdcd4fa42521d6044b42e0d | [] | no_license | SurendraKumarAratikatla/MyLenovolapCodes1 | 42d5bb7a14bfdf8d773ee60719380ee28ff4947a | 12c56200fcfd3e5229bfeec209fd03b5fc35b823 | refs/heads/master | 2023-06-17T15:44:18.312398 | 2021-07-19T10:28:11 | 2021-07-19T10:28:11 | 387,358,266 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 3,415 | py | from django.contrib import admin
# Register your models here.
from models import *
from django.contrib.admin import ModelAdmin
from django.db.models.fields import Field
from django.contrib.admin import SimpleListFilter
'''#from assign.disa-py.disa.admin_site import custom_admin_site
class country(SimpleListFilter):
title = 'name' # or use _('country') for translated title
parameter_name = 'name'
def lookups(self, request, model_admin):
list_of_countries = []
queryset = Organisation.objects.all()
for countries in queryset:
list_of_countries.append(self.id)
return sorted(list_of_countries, key=lambda tp: tp[1])
def queryset(self, request, queryset):
if self.value():
return queryset.filter(organisations_id=self.value())
return str(queryset)
class CityAdmin(ModelAdmin):
list_filter = (country, )
@admin.register(Author, Reader, Editor, site=custom_admin_site)
class PersonAdmin(admin.ModelAdmin):
pass
'''
'''class AddressAdmin(admin.ModelAdmin):
list_display = ('mid','address','city','district','state','country','pin','phone')
#list_display = ('full_address', 'pin')
ordering = ['country']
actions = [ 'mark_seen']
def mark_seen(self, request, queryset):
queryset.update(status='p')
mark_seen.short_description = "Mark seen"
def my_view(request, *args, **kwargs):
user1 = Seva.objects.values_list('sevaday', flat=True)[0];
return u'%s' % (user1)
admin.site.register_view('somepath', view=my_view)'''
admin.site.register(Address, AddressAdmin)
admin.site.register(Awardee, AwardeeAdmin)
admin.site.register(LunarDate, LunarAdmin)
admin.site.register(Member, MembersAdmin)
admin.site.register(NakshatramRasiPadamData, NakshatramRasiPadamDataAdmin)
admin.site.register(Seva, SevasAdmin)
admin.site.register(DonationKind, DonationKindAdmin)
admin.site.register(DonationCash, DonationCashAdmin)
admin.site.register(DonationAsset, DonationAssetAdmin)
admin.site.register(DonationService, DonationServiceAdmin)
admin.site.register(MaasamType, commonAdmin)
admin.site.register(NakshatramType, commonAdmin)
# admin.site.register(OauthAccesstoken, commonAdmin)
# admin.site.register(OauthAuthCode, commonAdmin)
# admin.site.register(OauthRefreshToken, commonAdmin)
admin.site.register(Organisation, commonAdmin)
admin.site.register(Profile, commonAdmin)
admin.site.register(SVExtra, commonAdmin)
admin.site.register(PadamType, commonAdmin)
admin.site.register(PakshamType, commonAdmin)
admin.site.register(RasiType, commonAdmin)
admin.site.register(SequenceNumber, commonAdmin)
admin.site.register(SevaAddress, commonAdmin)
admin.site.register(SevaCategory, commonAdmin)
admin.site.register(Tag, commonAdmin)
admin.site.register(TithiType, commonAdmin)
admin.site.register(MedicalProfile, MedicalProfileAdmin)
admin.site.register(StaffProfile, StaffProfileAdmin)
admin.site.register(User, commonAdmin)
admin.site.register(Transaction)
admin.site.register(SevasAddress, SevasAddressAdmin)
admin.site.register(AssetLand, AssetLandAdmin)
admin.site.register(AssetBuilding, AssetBuildingAdmin)
admin.site.register(AssetEquipment, AssetEquipmentAdmin)
admin.site.register(Trustee, TrusteeAdmin)
admin.site.register(Honorary, commonAdmin)
admin.site.register(Complimentary, commonAdmin)
admin.site.register(Relatives, RelativesAdmin)
admin.site.register(Duration)
| [
"[email protected]"
] | |
39d359c0ace912c7ed11aeb496577e257dfdcd23 | d52413173437ba73ecdf822ca895e659f00a8ce7 | /kiwibackend/application/module/skill/admin.py | 5dd10402159c123e12d215cf4d186a1bd65287e3 | [] | no_license | whiteprism/mywork | 2329b3459c967c079d6185c5acabd6df80cab8ea | a8e568e89744ca7acbc59e4744aff2a0756d7252 | refs/heads/master | 2021-01-21T11:15:49.090408 | 2017-03-31T03:28:13 | 2017-03-31T03:28:13 | 83,540,646 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 92 | py | from django.contrib import admin
from skill.models import Skill
admin.site.register(Skill)
| [
"[email protected]"
] | |
1d2db470220c93818fef669f95833c53bfc67818 | 0dc9968c34f74f6ff15435104806956169d6c82a | /algorithm/compare_tripet.py | 519515ce23471f85179b0b6a1b0551eacbbf7458 | [] | no_license | tasnuvaleeya/hackerRank | 5ac0e5b089e8da83980b37b1dea45def20fe02e0 | 7259324ea0692ce36c494d9b8913eef8e2211aa9 | refs/heads/master | 2021-04-09T17:37:41.769210 | 2018-04-12T13:55:56 | 2018-04-12T13:55:56 | 125,638,757 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 488 | py | import sys
def solve(a0, a1, a2, b0, b1, b2):
# Complete this function
a = (1 if a0 > b0 else 0) + (1 if a1 > b1 else 0) + (1 if a2 > b2 else 0)
b = (1 if b0 > a0 else 0) + (1 if b1 > a1 else 0) + (1 if b2 > a2 else 0)
return (a, b)
a0, a1, a2 = input().strip().split(' ')
a0, a1, a2 = [int(a0), int(a1), int(a2)]
b0, b1, b2 = input().strip().split(' ')
b0, b1, b2 = [int(b0), int(b1), int(b2)]
result = solve(a0, a1, a2, b0, b1, b2)
print(" ".join(map(str, result)))
| [
"[email protected]"
] | |
b2b27bb05f6ee9fa684ab184aab98b2328e8fb80 | 16dcbf88ae9514109151fe5ff447b2b653ddf48b | /2016/012-polynom/polynom 2.py | 2847370b97cc567bdecda9cfbb8aa6c5054e1f08 | [] | no_license | ChristerNilsson/Lab | efa55ef5e79dff84b232dfcf94473eacdb263175 | b1f730f45ec6e901bd14c1e4196aa5e0f591ecd2 | refs/heads/master | 2023-07-06T04:35:09.458936 | 2023-06-24T21:40:54 | 2023-06-24T21:40:54 | 48,474,249 | 8 | 8 | null | 2022-12-10T07:03:31 | 2015-12-23T06:51:11 | JavaScript | UTF-8 | Python | false | false | 4,381 | py | # -*- coding: utf-8 -*-
from sympy import S
# Polynom 2: Lista 0,1,2,3,... Value, Add, Mul, Diff, Integrate, Prettyprint
# Objektorienterat
class Polynom(object):
def __init__(self, polynom):
self.polynom = polynom
def __call__(self, x):
return sum([factor * x ** exponent for exponent,factor in enumerate(self.polynom)])
def __eq__(self,other):
return self.polynom == other.polynom
def __str__(self):
res = []
for degree,factor in enumerate(self.polynom):
a,b,c,d,e = '','','','',''
if factor == 0:
continue
if factor > 0:
a = '+'
if factor == 1:
if degree == 0:
b = str(factor)
elif factor == -1:
b = '-'
else:
b = str(factor)
if degree != 0:
c = '*'
if degree == 0:
pass
elif degree == 1:
d = 'x'
else:
d = 'x**'
if '/' in str(degree):
e = '(' + str(degree) + ')'
else:
e = str(degree)
res.append(a+b+c+d+e)
if not res:
res.append('0')
res = ''.join(res)
if res[0] == '+':
res = res[1:]
return res
def __add__(self, other):
return Polynom([(0 if f1 is None else f1) + (0 if f2 is None else f2) for f1,f2 in map(None, self.polynom, other.polynom)])
def __sub__(self, other):
return self + Polynom([-factor for factor in other.polynom])
def __mul__(self,other):
p1 = self.polynom
p2 = other.polynom
res = [0] * (len(p1) + len(p2))
for exp1,f1 in enumerate(p1):
for exp2,f2 in enumerate(p2):
res[exp1 + exp2] += f1 * f2
if not res:
return Polynom(res)
while res[-1] == 0:
res.pop()
if not res:
break
return Polynom(res)
def diff(self):
res = []
for degree,factor in enumerate(self.polynom):
if degree != 0:
res.append(factor * degree)
return Polynom(res)
def integrate(self):
res = [0]
for degree,factor in enumerate(self.polynom):
res.append(1.0 * factor / (degree + 1))
return Polynom(res)
a = Polynom([5,-7,3]) # f(x) = 5 -7*x + 3*x**2
assert a(0) == 5
assert a(1) == 1
assert a(2) == 3
assert Polynom([]) + Polynom([]) == Polynom([])
assert Polynom([1]) + Polynom([]) == Polynom([1])
assert Polynom([]) + Polynom([1]) == Polynom([1])
assert Polynom([1]) + Polynom([1]) == Polynom([2])
assert Polynom([1]) + Polynom([2]) == Polynom([3])
assert Polynom([1,0,1]) + Polynom([2,3]) == Polynom([3,3,1])
assert Polynom([]) * Polynom([]) == Polynom([])
assert Polynom([1]) * Polynom([]) == Polynom([])
assert Polynom([]) * Polynom([1]) == Polynom([])
assert Polynom([1]) * Polynom([1]) == Polynom([1])
assert Polynom([1]) * Polynom([2]) == Polynom([2])
assert Polynom([1,0,1]) * Polynom([2,3]) == Polynom([2,3,2,3])
assert Polynom([]).diff() == Polynom([])
assert Polynom([1]).diff() == Polynom([])
assert Polynom([1,2]).diff() == Polynom([2])
assert Polynom([1,2,3]).diff() == Polynom([2,6])
assert Polynom([5,-7,3]).diff() == Polynom([-7,6])
assert Polynom([]).integrate() == Polynom([0])
assert Polynom([1]).integrate() == Polynom([0,1])
assert Polynom([1,2]).integrate() == Polynom([0,1,1])
assert Polynom([1,2,3]).integrate() == Polynom([0,1,1,1])
assert Polynom([5,-7,3]).integrate() == Polynom([0,5,-3.5,1])
# Beräkna ytan mellan polynomen y=x och y=x*x, för x mellan 0 och 1
a = Polynom([0,1])
b = Polynom([0,0,1])
c = a - b
f = c.integrate()
assert str(f(1) - f(0)) == '0.166666666667'
assert str(Polynom([])) == '0'
assert str(Polynom([0])) == '0'
assert str(Polynom([1])) == '1'
assert str(Polynom([0,0])) == '0'
assert str(Polynom([0,1])) == 'x'
assert str(Polynom([0,-1])) == '-x'
assert str(Polynom([0,2])) == '2*x'
assert str(Polynom([0,-2])) == '-2*x'
a = [5, -7, 3]
assert str(Polynom(a)) == '5-7*x+3*x**2'
assert str(Polynom(a).diff()) == '-7+6*x'
assert str(Polynom(a).diff().diff()) == '6'
assert str(Polynom(a).diff().diff().diff()) == '0'
assert str(Polynom([0,-7,-3])) == '-7*x-3*x**2'
| [
"[email protected]"
] | |
456d1b7dcc9770fbbd73c74764f549079b035733 | 4fd56b22ba00072817904c45f6b18844034f58f0 | /projectapi/urls.py | 4bc4445e2366ca58c269085b94fa45c39e920dd6 | [
"MIT"
] | permissive | kelvinrono/projectApi | 0bf7a2766a5279ca4b27e8b3d55e352f7661f083 | 873ea90bff9ec1004d1f936d4fdcec47f95759c3 | refs/heads/master | 2023-06-19T16:04:26.886938 | 2021-07-20T20:47:40 | 2021-07-20T20:47:40 | 386,591,760 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 599 | py | from django.contrib import admin
from django.urls import path,include
from django.contrib.auth import views
from django.conf import settings
from django.conf.urls.static import static
from django_registration.backends.one_step.views import RegistrationView
urlpatterns = [
path('admin/', admin.site.urls),
path('',include('api.urls')),
path('accounts/register/', RegistrationView.as_view(success_url='/'),name='django_registration_register'),
path('accounts/', include('django.contrib.auth.urls')),
path('accounts/', include('django_registration.backends.one_step.urls')),
]
| [
"[email protected]"
] | |
57d4560a43aef2d5d6a28cf6a9081b60926353ed | 6a7e9e0e9c08132166f566bd88ae1c46ff8f9c0a | /azure-mgmt-sql/azure/mgmt/sql/operations/job_target_groups_operations.py | 0bf98a502cb80ea748c22f25a5de17d8b4d37e78 | [
"MIT"
] | permissive | ashirey-msft/azure-sdk-for-python | d92381d11c48f194ec9f989f5f803db614fb73f2 | e04778e13306dad2e8fb044970215bad6296afb6 | refs/heads/master | 2020-03-23T06:05:39.283442 | 2018-09-15T00:18:26 | 2018-09-15T00:18:26 | 141,188,192 | 0 | 1 | MIT | 2018-07-16T20:02:52 | 2018-07-16T20:02:52 | null | UTF-8 | Python | false | false | 15,765 | 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.
# --------------------------------------------------------------------------
import uuid
from msrest.pipeline import ClientRawResponse
from msrestazure.azure_exceptions import CloudError
from .. import models
class JobTargetGroupsOperations(object):
"""JobTargetGroupsOperations operations.
:param client: Client for service requests.
:param config: Configuration of service client.
:param serializer: An object model serializer.
:param deserializer: An object model deserializer.
:ivar api_version: The API version to use for the request. Constant value: "2017-03-01-preview".
"""
models = models
def __init__(self, client, config, serializer, deserializer):
self._client = client
self._serialize = serializer
self._deserialize = deserializer
self.api_version = "2017-03-01-preview"
self.config = config
def list_by_agent(
self, resource_group_name, server_name, job_agent_name, custom_headers=None, raw=False, **operation_config):
"""Gets all target groups in an agent.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param job_agent_name: The name of the job agent.
:type job_agent_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: An iterator like instance of JobTargetGroup
:rtype:
~azure.mgmt.sql.models.JobTargetGroupPaged[~azure.mgmt.sql.models.JobTargetGroup]
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
def internal_paging(next_link=None, raw=False):
if not next_link:
# Construct URL
url = self.list_by_agent.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'jobAgentName': self._serialize.url("job_agent_name", job_agent_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
else:
url = next_link
query_parameters = {}
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(
request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
return response
# Deserialize response
deserialized = models.JobTargetGroupPaged(internal_paging, self._deserialize.dependencies)
if raw:
header_dict = {}
client_raw_response = models.JobTargetGroupPaged(internal_paging, self._deserialize.dependencies, header_dict)
return client_raw_response
return deserialized
list_by_agent.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/jobAgents/{jobAgentName}/targetGroups'}
def get(
self, resource_group_name, server_name, job_agent_name, target_group_name, custom_headers=None, raw=False, **operation_config):
"""Gets a target group.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param job_agent_name: The name of the job agent.
:type job_agent_name: str
:param target_group_name: The name of the target group.
:type target_group_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: JobTargetGroup or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.sql.models.JobTargetGroup or
~msrest.pipeline.ClientRawResponse
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
# Construct URL
url = self.get.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'jobAgentName': self._serialize.url("job_agent_name", job_agent_name, 'str'),
'targetGroupName': self._serialize.url("target_group_name", target_group_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.get(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('JobTargetGroup', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/jobAgents/{jobAgentName}/targetGroups/{targetGroupName}'}
def create_or_update(
self, resource_group_name, server_name, job_agent_name, target_group_name, members, custom_headers=None, raw=False, **operation_config):
"""Creates or updates a target group.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param job_agent_name: The name of the job agent.
:type job_agent_name: str
:param target_group_name: The name of the target group.
:type target_group_name: str
:param members: Members of the target group.
:type members: list[~azure.mgmt.sql.models.JobTarget]
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: JobTargetGroup or ClientRawResponse if raw=true
:rtype: ~azure.mgmt.sql.models.JobTargetGroup or
~msrest.pipeline.ClientRawResponse
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
parameters = models.JobTargetGroup(members=members)
# Construct URL
url = self.create_or_update.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'jobAgentName': self._serialize.url("job_agent_name", job_agent_name, 'str'),
'targetGroupName': self._serialize.url("target_group_name", target_group_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct body
body_content = self._serialize.body(parameters, 'JobTargetGroup')
# Construct and send request
request = self._client.put(url, query_parameters)
response = self._client.send(
request, header_parameters, body_content, stream=False, **operation_config)
if response.status_code not in [200, 201]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
deserialized = None
if response.status_code == 200:
deserialized = self._deserialize('JobTargetGroup', response)
if response.status_code == 201:
deserialized = self._deserialize('JobTargetGroup', response)
if raw:
client_raw_response = ClientRawResponse(deserialized, response)
return client_raw_response
return deserialized
create_or_update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/jobAgents/{jobAgentName}/targetGroups/{targetGroupName}'}
def delete(
self, resource_group_name, server_name, job_agent_name, target_group_name, custom_headers=None, raw=False, **operation_config):
"""Deletes a target group.
:param resource_group_name: The name of the resource group that
contains the resource. You can obtain this value from the Azure
Resource Manager API or the portal.
:type resource_group_name: str
:param server_name: The name of the server.
:type server_name: str
:param job_agent_name: The name of the job agent.
:type job_agent_name: str
:param target_group_name: The name of the target group.
:type target_group_name: str
:param dict custom_headers: headers that will be added to the request
:param bool raw: returns the direct response alongside the
deserialized response
:param operation_config: :ref:`Operation configuration
overrides<msrest:optionsforoperations>`.
:return: None or ClientRawResponse if raw=true
:rtype: None or ~msrest.pipeline.ClientRawResponse
:raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>`
"""
# Construct URL
url = self.delete.metadata['url']
path_format_arguments = {
'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'),
'serverName': self._serialize.url("server_name", server_name, 'str'),
'jobAgentName': self._serialize.url("job_agent_name", job_agent_name, 'str'),
'targetGroupName': self._serialize.url("target_group_name", target_group_name, 'str'),
'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str')
}
url = self._client.format_url(url, **path_format_arguments)
# Construct parameters
query_parameters = {}
query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str')
# Construct headers
header_parameters = {}
header_parameters['Content-Type'] = 'application/json; charset=utf-8'
if self.config.generate_client_request_id:
header_parameters['x-ms-client-request-id'] = str(uuid.uuid1())
if custom_headers:
header_parameters.update(custom_headers)
if self.config.accept_language is not None:
header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')
# Construct and send request
request = self._client.delete(url, query_parameters)
response = self._client.send(request, header_parameters, stream=False, **operation_config)
if response.status_code not in [200, 204]:
exp = CloudError(response)
exp.request_id = response.headers.get('x-ms-request-id')
raise exp
if raw:
client_raw_response = ClientRawResponse(None, response)
return client_raw_response
delete.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Sql/servers/{serverName}/jobAgents/{jobAgentName}/targetGroups/{targetGroupName}'}
| [
"[email protected]"
] | |
7d24cd93a7fba526abe473e1a5d4a570cd1114e6 | 163bbb4e0920dedd5941e3edfb2d8706ba75627d | /Code/CodeRecords/2741/60760/298464.py | 353a99580a2dc99629300bfe0b7b2f83c5ddb862 | [] | 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 | 335 | py | def func(arr: list):
length=len(arr)
l=length
while l>0:
for j in range(length+1-l):
temp=arr[j:j+l]
temp2=sorted(set(temp))
if temp==temp2:
return l
l=l-1
return 0
b = input()
arr = list(map(int, b[1:len(b)-1].split(',')))
print(func(arr)) | [
"[email protected]"
] | |
2308b0c04994fcc9e120f82195135253102e7f8a | eaa284e89ce848e7500d08cc16b40b6c465e6b5c | /cthaeh/app.py | 7efe62c7464f73d3379b74d3b80e4182bd7ca3a7 | [
"MIT"
] | permissive | pipermerriam/cthaeh | bfac951546977eeb078df9bffb5a07536f6772ee | a3f63b0522d940af37f485ccbeed07666adb465b | refs/heads/master | 2023-08-28T08:49:23.966610 | 2020-04-28T18:17:02 | 2020-04-28T18:17:02 | 259,418,354 | 0 | 0 | MIT | 2020-04-27T18:30:54 | 2020-04-27T18:30:53 | null | UTF-8 | Python | false | false | 2,077 | py | import logging
import pathlib
from typing import Optional
from async_service import Service
from eth_typing import BlockNumber
from sqlalchemy import orm
import trio
from web3 import Web3
from cthaeh.exfiltration import Exfiltrator
from cthaeh.ir import Block as BlockIR
from cthaeh.loader import BlockLoader
from cthaeh.models import Header
from cthaeh.rpc import RPCServer
def determine_start_block(session: orm.Session) -> BlockNumber:
head = (
session.query(Header) # type: ignore
.order_by(Header.block_number.desc())
.filter(Header.is_canonical == True) # noqa: E712
.first()
)
if head is None:
return BlockNumber(0)
else:
return BlockNumber(head.block_number + 1)
class Application(Service):
logger = logging.getLogger("cthaeh.Cthaeh")
rpc_server: Optional[RPCServer] = None
def __init__(
self,
w3: Web3,
session: orm.Session,
start_block: Optional[BlockNumber],
end_block: Optional[BlockNumber],
concurrency: int,
ipc_path: Optional[pathlib.Path],
) -> None:
block_send_channel, block_receive_channel = trio.open_memory_channel[BlockIR](
128
)
if start_block is None:
start_block = determine_start_block(session)
self.exfiltrator = Exfiltrator(
w3=w3,
block_send_channel=block_send_channel,
start_at=start_block,
end_at=end_block,
concurrency_factor=concurrency,
)
self.loader = BlockLoader(
session=session, block_receive_channel=block_receive_channel
)
if ipc_path is not None:
self.rpc_server = RPCServer(ipc_path=ipc_path, session=session)
async def run(self) -> None:
self.manager.run_daemon_child_service(self.exfiltrator)
self.manager.run_daemon_child_service(self.loader)
if self.rpc_server is not None:
self.manager.run_daemon_child_service(self.rpc_server)
await self.manager.wait_finished()
| [
"[email protected]"
] | |
e511daa839d5f5ec938a1828c6f4e1d08361e541 | 3f7c27ccd0ab1fcbd2583cf4b764b81bd27dd718 | /apps/members/migrations/0003_auto__add_field_member_address__add_field_member_city__add_field_membe.py | bfad4ac11b208f53dc018a2f15b4d2636362d119 | [] | no_license | adamtlord/foreverland | 001ca1a91a3cc468405efb80fe7981e75b82021c | 8206ddeeb8cfbd2752ef6fa9839424718cb96e07 | refs/heads/master | 2020-04-16T00:50:51.582008 | 2016-09-21T03:27:39 | 2016-09-21T03:27:39 | 11,668,672 | 0 | 0 | null | 2016-09-04T03:46:51 | 2013-07-25T19:05:55 | Python | UTF-8 | Python | false | false | 7,747 | py | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Member.address'
db.add_column(u'members_member', 'address',
self.gf('django.db.models.fields.CharField')(max_length=100, null=True, blank=True),
keep_default=False)
# Adding field 'Member.city'
db.add_column(u'members_member', 'city',
self.gf('django.db.models.fields.CharField')(max_length=100, null=True, blank=True),
keep_default=False)
# Adding field 'Member.state'
db.add_column(u'members_member', 'state',
self.gf('django.contrib.localflavor.us.models.USStateField')(max_length=2, null=True, blank=True),
keep_default=False)
# Adding field 'Member.zip_code'
db.add_column(u'members_member', 'zip_code',
self.gf('django.db.models.fields.CharField')(max_length=20, null=True, blank=True),
keep_default=False)
# Adding field 'Member.phone'
db.add_column(u'members_member', 'phone',
self.gf('django.contrib.localflavor.us.models.PhoneNumberField')(max_length=20, null=True, blank=True),
keep_default=False)
# Adding field 'Member.ssn'
db.add_column(u'members_member', 'ssn',
self.gf('django.db.models.fields.CharField')(max_length=16, null=True, blank=True),
keep_default=False)
# Adding field 'Sub.address'
db.add_column(u'members_sub', 'address',
self.gf('django.db.models.fields.CharField')(max_length=100, null=True, blank=True),
keep_default=False)
# Adding field 'Sub.city'
db.add_column(u'members_sub', 'city',
self.gf('django.db.models.fields.CharField')(max_length=100, null=True, blank=True),
keep_default=False)
# Adding field 'Sub.state'
db.add_column(u'members_sub', 'state',
self.gf('django.contrib.localflavor.us.models.USStateField')(max_length=2, null=True, blank=True),
keep_default=False)
# Adding field 'Sub.zip_code'
db.add_column(u'members_sub', 'zip_code',
self.gf('django.db.models.fields.CharField')(max_length=20, null=True, blank=True),
keep_default=False)
# Adding field 'Sub.phone'
db.add_column(u'members_sub', 'phone',
self.gf('django.contrib.localflavor.us.models.PhoneNumberField')(max_length=20, null=True, blank=True),
keep_default=False)
# Adding field 'Sub.ssn'
db.add_column(u'members_sub', 'ssn',
self.gf('django.db.models.fields.CharField')(max_length=16, null=True, blank=True),
keep_default=False)
def backwards(self, orm):
# Deleting field 'Member.address'
db.delete_column(u'members_member', 'address')
# Deleting field 'Member.city'
db.delete_column(u'members_member', 'city')
# Deleting field 'Member.state'
db.delete_column(u'members_member', 'state')
# Deleting field 'Member.zip_code'
db.delete_column(u'members_member', 'zip_code')
# Deleting field 'Member.phone'
db.delete_column(u'members_member', 'phone')
# Deleting field 'Member.ssn'
db.delete_column(u'members_member', 'ssn')
# Deleting field 'Sub.address'
db.delete_column(u'members_sub', 'address')
# Deleting field 'Sub.city'
db.delete_column(u'members_sub', 'city')
# Deleting field 'Sub.state'
db.delete_column(u'members_sub', 'state')
# Deleting field 'Sub.zip_code'
db.delete_column(u'members_sub', 'zip_code')
# Deleting field 'Sub.phone'
db.delete_column(u'members_sub', 'phone')
# Deleting field 'Sub.ssn'
db.delete_column(u'members_sub', 'ssn')
models = {
u'members.member': {
'Meta': {'object_name': 'Member'},
'active': ('django.db.models.fields.BooleanField', [], {'default': 'False'}),
'address': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),
'bio': ('django.db.models.fields.TextField', [], {'null': 'True', 'blank': 'True'}),
'city': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),
'display_first': ('django.db.models.fields.CharField', [], {'max_length': '50', 'null': 'True', 'blank': 'True'}),
'display_last': ('django.db.models.fields.CharField', [], {'max_length': '50', 'null': 'True', 'blank': 'True'}),
'dob': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),
'first_name': ('django.db.models.fields.CharField', [], {'max_length': '50', 'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'instrument': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),
'join_date': ('django.db.models.fields.DateField', [], {'null': 'True', 'blank': 'True'}),
'last_name': ('django.db.models.fields.CharField', [], {'max_length': '50', 'null': 'True', 'blank': 'True'}),
'middle_name': ('django.db.models.fields.CharField', [], {'max_length': '50', 'null': 'True', 'blank': 'True'}),
'phone': ('django.contrib.localflavor.us.models.PhoneNumberField', [], {'max_length': '20', 'null': 'True', 'blank': 'True'}),
'section': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),
'ssn': ('django.db.models.fields.CharField', [], {'max_length': '16', 'null': 'True', 'blank': 'True'}),
'state': ('django.contrib.localflavor.us.models.USStateField', [], {'max_length': '2', 'null': 'True', 'blank': 'True'}),
'zip_code': ('django.db.models.fields.CharField', [], {'max_length': '20', 'null': 'True', 'blank': 'True'})
},
u'members.sub': {
'Meta': {'object_name': 'Sub'},
'address': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),
'city': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),
'first_name': ('django.db.models.fields.CharField', [], {'max_length': '50', 'null': 'True', 'blank': 'True'}),
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'instrument': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}),
'last_name': ('django.db.models.fields.CharField', [], {'max_length': '50', 'null': 'True', 'blank': 'True'}),
'phone': ('django.contrib.localflavor.us.models.PhoneNumberField', [], {'max_length': '20', 'null': 'True', 'blank': 'True'}),
'ssn': ('django.db.models.fields.CharField', [], {'max_length': '16', 'null': 'True', 'blank': 'True'}),
'state': ('django.contrib.localflavor.us.models.USStateField', [], {'max_length': '2', 'null': 'True', 'blank': 'True'}),
'zip_code': ('django.db.models.fields.CharField', [], {'max_length': '20', 'null': 'True', 'blank': 'True'})
}
}
complete_apps = ['members'] | [
"[email protected]"
] | |
dd7b3751dac42303218c555346b4dc3e265685c4 | 9cd180fc7594eb018c41f0bf0b54548741fd33ba | /sdk/python/pulumi_azure_nextgen/network/v20170801/network_watcher.py | 6baeb361ea8cee421d8b1a6957351992333fc362 | [
"Apache-2.0",
"BSD-3-Clause"
] | permissive | MisinformedDNA/pulumi-azure-nextgen | c71971359450d03f13a53645171f621e200fe82d | f0022686b655c2b0744a9f47915aadaa183eed3b | refs/heads/master | 2022-12-17T22:27:37.916546 | 2020-09-28T16:03:59 | 2020-09-28T16:03:59 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 7,727 | py | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
__all__ = ['NetworkWatcher']
class NetworkWatcher(pulumi.CustomResource):
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
etag: Optional[pulumi.Input[str]] = None,
id: Optional[pulumi.Input[str]] = None,
location: Optional[pulumi.Input[str]] = None,
network_watcher_name: Optional[pulumi.Input[str]] = None,
resource_group_name: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
__props__=None,
__name__=None,
__opts__=None):
"""
Network watcher in a resource group.
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] etag: A unique read-only string that changes whenever the resource is updated.
:param pulumi.Input[str] id: Resource ID.
:param pulumi.Input[str] location: Resource location.
:param pulumi.Input[str] network_watcher_name: The name of the network watcher.
:param pulumi.Input[str] resource_group_name: The name of the resource group.
:param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Resource tags.
"""
if __name__ is not None:
warnings.warn("explicit use of __name__ is deprecated", DeprecationWarning)
resource_name = __name__
if __opts__ is not None:
warnings.warn("explicit use of __opts__ is deprecated, use 'opts' instead", DeprecationWarning)
opts = __opts__
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = dict()
__props__['etag'] = etag
__props__['id'] = id
__props__['location'] = location
if network_watcher_name is None:
raise TypeError("Missing required property 'network_watcher_name'")
__props__['network_watcher_name'] = network_watcher_name
if resource_group_name is None:
raise TypeError("Missing required property 'resource_group_name'")
__props__['resource_group_name'] = resource_group_name
__props__['tags'] = tags
__props__['name'] = None
__props__['provisioning_state'] = None
__props__['type'] = None
alias_opts = pulumi.ResourceOptions(aliases=[pulumi.Alias(type_="azure-nextgen:network/latest:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20160901:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20161201:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20170301:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20170601:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20170901:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20171001:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20171101:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20180101:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20180201:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20180401:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20180601:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20180701:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20180801:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20181001:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20181101:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20181201:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20190201:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20190401:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20190601:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20190701:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20190801:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20190901:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20191101:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20191201:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20200301:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20200401:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20200501:NetworkWatcher"), pulumi.Alias(type_="azure-nextgen:network/v20200601:NetworkWatcher")])
opts = pulumi.ResourceOptions.merge(opts, alias_opts)
super(NetworkWatcher, __self__).__init__(
'azure-nextgen:network/v20170801:NetworkWatcher',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None) -> 'NetworkWatcher':
"""
Get an existing NetworkWatcher resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = dict()
return NetworkWatcher(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter
def etag(self) -> pulumi.Output[Optional[str]]:
"""
A unique read-only string that changes whenever the resource is updated.
"""
return pulumi.get(self, "etag")
@property
@pulumi.getter
def location(self) -> pulumi.Output[Optional[str]]:
"""
Resource location.
"""
return pulumi.get(self, "location")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
Resource name.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="provisioningState")
def provisioning_state(self) -> pulumi.Output[str]:
"""
The provisioning state of the resource.
"""
return pulumi.get(self, "provisioning_state")
@property
@pulumi.getter
def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]:
"""
Resource tags.
"""
return pulumi.get(self, "tags")
@property
@pulumi.getter
def type(self) -> pulumi.Output[str]:
"""
Resource type.
"""
return pulumi.get(self, "type")
def translate_output_property(self, prop):
return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop
def translate_input_property(self, prop):
return _tables.SNAKE_TO_CAMEL_CASE_TABLE.get(prop) or prop
| [
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] | |
557626a838a5516f574530c6f9b0f8abecfe9102 | d438590c032484c00674def5d5949ff2d33dcc07 | /io2_portal/urls.py | 73d87a3bda881992df1e612b5720ec749307d100 | [] | no_license | map34/io2_portal | 52503504334a355e2bfcbcd23b07206e543768b4 | 1890313104218ad1f6c9baa259341e3a689afc04 | refs/heads/master | 2020-03-25T01:00:43.877008 | 2018-08-02T17:22:41 | 2018-08-02T17:22:41 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 965 | py | """io2_portal URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path, include
from django.conf import settings
from django.conf.urls.static import static
import apps.home.urls
urlpatterns = [
path('', include(apps.home.urls)),
path('admin/', admin.site.urls),
] + static(settings.STATIC_URL, document_root=settings.STATIC_ROOT)
| [
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] | |
8a69b3abdbe989e9632031a056e21efcc892c649 | c15a28ae62eb94dbf3ed13e2065195e572a9988e | /Cook book/src/9/preserving_function_metadata_when_writing_decorators/example.py | e5e1850554e8f722b7368d301f04da5a8473d8a1 | [] | no_license | xuyuchends1/python | 10798c92840a1a59d50f5dc5738b2881e65f7865 | 545d950a3d2fee799902658e8133e3692939496b | refs/heads/master | 2021-01-25T07:07:04.812140 | 2020-02-28T09:25:15 | 2020-02-28T09:25:15 | 93,647,064 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 673 | py | import time
from functools import wraps
def timethis(func):
'''
Decorator that reports the execution time.
'''
@wraps(func)
def wrapper(*args, **kwargs):
start = time.time()
result = func(*args, **kwargs)
end = time.time()
print(func.__name__, end - start)
return result
return wrapper
if __name__ == '__main__':
@timethis
def countdown(n: int):
'''
Counts down
'''
while n > 0:
n -= 1
countdown(100000)
print('Name:', countdown.__name__)
print('Docstring:', repr(countdown.__doc__))
print('Annotations:', countdown.__annotations__)
| [
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] | |
b1b37aea147f4eae935359ca21d61807d97cf417 | bbb8d941d0aa439ca435e0f00ddbd7330ad2db79 | /cpp/cc1.py | ee3d587fa2a2f8a3948cee50ae517e7285bcf118 | [] | no_license | dimritium/Code | 7ca940124074d7f7bca28559e0fe2f3cba24f846 | e6678b3dabe21fcd05e362bb8115f7812ad9abb8 | refs/heads/master | 2021-07-25T06:35:22.755474 | 2017-11-04T15:07:50 | 2017-11-04T15:07:50 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 491 | py | t = int(input())
for i in range(t):
s = str(input())
dic = {}
for i in range(len(s)):
try:
dic[s[i]].append(i)
except:
dic[s[i]] = [i]
for k,v in dic.items():
flag = 0
if len(dic[k])>1:
if dic[k][-1]!=len(s)-1:
dic[k].append(len(s)-1)
for j in range(len(v)-2):
new_s = re.compile(r"["+s[dic[k][j]:dic[k][j+1]]+"]")
for l in range(j+1,len(v))
| [
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] | |
19449a8c3d7391986351f441cf5c2b743a3dbcb2 | 2c143ba64032f65c7f7bf1cbd567a1dcf13d5bb1 | /腾讯/回溯算法/022括号生成.py | c5dd0dd441e7531fdd68cfbbe845ec6452796fcd | [] | no_license | tx991020/MyLeetcode | 5b6121d32260fb30b12cc8146e44e6c6da03ad89 | cfe4f087dfeb258caebbc29fc366570ac170a68c | refs/heads/master | 2020-04-09T21:43:41.403553 | 2019-03-27T18:54:35 | 2019-03-27T18:54:35 | 160,611,089 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 2,960 | py | '''
给出 n 代表生成括号的对数，请你写出一个函数，使其能够生成所有可能的并且有效的括号组合。
例如，给出 n = 3，生成结果为：
[
"((()))",
"(()())",
"(())()",
"()(())",
"()()()"
]
'''
'''
class Solution:
def generateParenthesis(self, n):
"""
:type n: int
:rtype: List[str]
"""
self.res = []
self.singleStr('', 0, 0, n)
return self.res
def singleStr(self, s, left, right, n):
if left == n and right == n:
self.res.append(s)
if left < n:
self.singleStr(s + '(',left + 1, right, n)
if right < left:
self.singleStr(s + ')',left, right + 1, n)
非常牛逼的讲解，需要这样的人来给我们讲算法
####以Generate Parentheses为例，backtrack的题到底该怎么去思考？
所谓Backtracking都是这样的思路：在当前局面下，你有若干种选择。那么尝试每一种选择。如果已经发现某种选择肯定不行（因为违反了某些限定条件），就返回；如果某种选择试到最后发现是正确解，就将其加入解集
所以你思考递归题时，只要明确三点就行：选择 (Options)，限制 (Restraints)，结束条件 (Termination)。即“ORT原则”（这个是我自己编的）
对于这道题，在任何时刻，你都有两种选择：
加左括号。
加右括号。
同时有以下限制：
如果左括号已经用完了，则不能再加左括号了。
如果已经出现的右括号和左括号一样多，则不能再加右括号了。因为那样的话新加入的右括号一定无法匹配。
结束条件是： 左右括号都已经用完。
结束后的正确性： 左右括号用完以后，一定是正确解。因为1. 左右括号一样多，2. 每个右括号都一定有与之配对的左括号。因此一旦结束就可以加入解集（有时也可能出现结束以后不一定是正确解的情况，这时要多一步判断）。
递归函数传入参数： 限制和结束条件中有“用完”和“一样多”字样，因此你需要知道左右括号的数目。 当然你还需要知道当前局面sublist和解集res。
因此，把上面的思路拼起来就是代码：
if (左右括号都已用完) {
加入解集，返回
}
//否则开始试各种选择
if (还有左括号可以用) {
加一个左括号，继续递归
}
if (右括号小于左括号) {
加一个右括号，继续递归
}
你帖的那段代码逻辑中加了一条限制：“3. 是否还有右括号剩余。如有才加右括号”。这是合理的。不过对于这道题，如果满足限制1、2时，3一定自动满足，所以可以不判断3。
这题其实是最好的backtracking初学练习之一，因为ORT三者都非常简单明显。你不妨按上述思路再梳理一遍，还有问题的话再说。
以上文字来自 1point3arces的牛人解答
''' | [
"[email protected]"
] | |
62cd735bf3bd66bfa41f89911b1a16366b1a19e7 | 72f5adc4b6f79dd40e975c86abcdbd3d0ccada86 | /venv/bin/gunicorn_paster | 43cf72ceadbb1d9db6993812ddd5ce212904fb7e | [] | no_license | katrek/flask_vacancy_parser | 77101604ec5bfeb47c009b9d8329b42d9d30bf4a | bbea4ae860bb78f7264b05e92c6664f8e4c4b3cf | refs/heads/master | 2023-01-11T11:58:09.275448 | 2019-08-29T06:36:53 | 2019-08-29T06:36:53 | 204,666,913 | 1 | 1 | null | 2023-01-03T12:19:03 | 2019-08-27T09:22:35 | Python | UTF-8 | Python | false | false | 271 | #!/Users/artemtkachev/PycharmProjects/flask_parser2/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from gunicorn.app.pasterapp import run
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(run())
| [
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] | ||
bf5cc25038b36bbd8db9b85a2521712b8946591a | 2775947a01c2b10671737eae47725435957890a5 | /to-be-implemented/vstruct/win32.py | 908eb8ab7618a154c12ecf06dbb1a4dddd3235df | [] | no_license | albertz/pydbattach | 7b4bd4b7b22ec3c0aa82b45ba29674d3c852a9a4 | bbcc187627fc80ae4bd6fc98eefe41316f722a91 | refs/heads/master | 2022-10-25T12:34:05.045449 | 2022-10-11T14:53:18 | 2022-10-11T14:53:18 | 1,798,590 | 79 | 10 | null | 2022-02-09T12:43:01 | 2011-05-25T11:52:27 | Python | UTF-8 | Python | false | false | 7,453 | py |
from vstruct.primitives import *
from vstruct import VStruct,VArray
DWORD = v_uint32
class NT_TIB(VStruct):
_fields_ = [
("ExceptionList", v_ptr), # ExceptionRegistration structures.
("StackBase", v_ptr),
("StackLimit", v_ptr),
("SubSystemTib", v_ptr),
("FiberData", v_ptr),
("Version", v_ptr),
("ArbitraryUserPtr", v_ptr),
("Self", v_ptr)
]
class SEH3_SCOPETABLE(VStruct):
_fields_ = [
("EnclosingLevel", v_int32),
("FilterFunction", v_ptr),
("HandlerFunction", v_ptr),
]
class SEH4_SCOPETABLE(VStruct):
"""
Much like the SEH3 scopetable with the stack cookie additions
"""
_fields_ = [
("GSCookieOffset", v_int32),
("GSCookieXOROffset", v_int32),
("EHCookieOffset", v_int32),
("EHCookieXOROffset", v_int32),
("EnclosingLevel", v_int32),
("FilterFunction", v_ptr),
("HandlerFunction", v_ptr),
]
class CLIENT_ID(VStruct):
_fields_ = [
("UniqueProcess", v_ptr),
("UniqueThread", v_ptr)
]
class TebReserved32Array(VArray):
_field_type_ = v_uint32
_field_count_ = 26
class TebReservedArray(VArray):
_field_type_ = v_uint32
_field_count_ = 5
class TEB(VStruct):
_fields_ = [
("TIB", NT_TIB),
("EnvironmentPointer", v_ptr),
("ClientId", CLIENT_ID),
("ActiveRpcHandle", v_ptr),
("ThreadLocalStorage", v_ptr),
("ProcessEnvironmentBlock", v_ptr),
("LastErrorValue", v_uint32),
("CountOfOwnedCriticalSections", v_uint32),
("CsrClientThread", v_ptr),
("Win32ThreadInfo", v_ptr),
("User32Reserved", TebReserved32Array),
("UserReserved", TebReservedArray),
("WOW32Reserved", v_ptr),
("CurrentLocale", v_uint32),
("FpSoftwareStatusRegister", v_uint32)
#FIXME not done!
]
# Some necissary arrays for the PEB
class TlsExpansionBitsArray(VArray):
_field_type_ = v_uint32
_field_count_ = 32
class GdiHandleBufferArray(VArray):
_field_type_ = v_ptr
_field_count_ = 34
class TlsBitMapArray(VArray):
_field_type_ = v_uint32
_field_count_ = 2
class PEB(VStruct):
_fields_ = [
("InheritedAddressSpace", v_uint8),
("ReadImageFileExecOptions", v_uint8),
("BeingDebugged", v_uint8),
("SpareBool", v_uint8),
("Mutant", v_ptr),
("ImageBaseAddress", v_ptr),
("Ldr", v_ptr),
("ProcessParameters", v_ptr),
("SubSystemData", v_ptr),
("ProcessHeap", v_ptr),
("FastPebLock", v_ptr),
("FastPebLockRoutine", v_ptr),
("FastPebUnlockRoutine", v_ptr),
("EnvironmentUpdateCount", v_uint32),
("KernelCallbackTable", v_ptr),
("SystemReserved", v_uint32),
("AtlThunkSListPtr32", v_ptr),
("FreeList", v_ptr),
("TlsExpansionCounter", v_uint32),
("TlsBitmap", v_ptr),
("TlsBitmapBits", TlsBitMapArray),
("ReadOnlySharedMemoryBase", v_ptr),
("ReadOnlySharedMemoryHeap", v_ptr),
("ReadOnlyStaticServerData", v_ptr),
("AnsiCodePageData", v_ptr),
("OemCodePageData", v_ptr),
("UnicodeCaseTableData", v_ptr),
("NumberOfProcessors", v_uint32),
("NtGlobalFlag", v_uint64),
("CriticalSectionTimeout",v_uint64),
("HeapSegmentReserve", v_uint32),
("HeapSegmentCommit", v_uint32),
("HeapDeCommitTotalFreeThreshold", v_uint32),
("HeapDeCommitFreeBlockThreshold", v_uint32),
("NumberOfHeaps", v_uint32),
("MaximumNumberOfHeaps", v_uint32),
("ProcessHeaps", v_ptr),
("GdiSharedHandleTable", v_ptr),
("ProcessStarterHelper", v_ptr),
("GdiDCAttributeList", v_uint32),
("LoaderLock", v_ptr),
("OSMajorVersion", v_uint32),
("OSMinorVersion", v_uint32),
("OSBuildNumber", v_uint16),
("OSCSDVersion", v_uint16),
("OSPlatformId", v_uint32),
("ImageSubsystem", v_uint32),
("ImageSubsystemMajorVersion", v_uint32),
("ImageSubsystemMinorVersion", v_uint32),
("ImageProcessAffinityMask", v_uint32),
("GdiHandleBuffer", GdiHandleBufferArray),
("PostProcessInitRoutine", v_ptr),
("TlsExpansionBitmap", v_ptr),
("TlsExpansionBitmapBits", TlsExpansionBitsArray),
("SessionId", v_uint32),
("AppCompatFlags", v_uint64),
("AppCompatFlagsUser", v_uint64),
("pShimData", v_ptr),
("AppCompatInfo", v_ptr),
("CSDVersion", v_ptr), # FIXME make wide char reader?
("UNKNOWN", v_uint32),
("ActivationContextData", v_ptr),
("ProcessAssemblyStorageMap", v_ptr),
("SystemDefaultActivationContextData", v_ptr),
("SystemAssemblyStorageMap", v_ptr),
("MinimumStackCommit", v_uint32),
]
class HEAP_ENTRY(VStruct):
_fields_ = [
("Size", v_uint16),
("PrevSize", v_uint16),
("SegmentIndex", v_uint8),
("Flags", v_uint8),
("Unused", v_uint8),
("TagIndex", v_uint8)
]
class ListEntry(VStruct):
_fields_ = [
("Flink", v_ptr),
("Blink", v_ptr)
]
class HeapSegmentArray(VArray):
_field_type_ = v_uint32
_field_count_ = 64
class HeapUnArray(VArray):
_field_type_ = v_uint8
_field_count_ = 16
class HeapUn2Array(VArray):
_field_type_ = v_uint8
_field_count_ = 2
class HeapFreeListArray(VArray):
_field_type_ = ListEntry
_field_count_ = 128
class HEAP(VStruct):
_fields_ = [
("Entry", HEAP_ENTRY),
("Signature", v_uint32),
("Flags", v_uint32),
("ForceFlags", v_uint32),
("VirtualMemoryThreshold", v_uint32),
("SegmentReserve", v_uint32),
("SegmentCommit", v_uint32),
("DeCommitFreeBlockThreshold", v_uint32),
("DeCommitTotalFreeThreshold", v_uint32),
("TotalFreeSize", v_uint32),
("MaximumAllocationSize", v_uint32),
("ProcessHeapsListIndex", v_uint16),
("HeaderValidateLength", v_uint16),
("HeaderValidateCopy", v_ptr),
("NextAvailableTagIndex", v_uint16),
("MaximumTagIndex", v_uint16),
("TagEntries", v_ptr),
("UCRSegments", v_ptr),
("UnusedUnCommittedRanges", v_ptr),
("AlignRound", v_uint32),
("AlignMask", v_uint32),
("VirtualAllocBlocks", ListEntry),
("Segments", HeapSegmentArray),
("u", HeapUnArray),
("u2", HeapUn2Array),
("AllocatorBackTraceIndex",v_uint16),
("NonDedicatedListLength", v_uint32),
("LargeBlocksIndex", v_ptr),
("PseudoTagEntries", v_ptr),
("FreeLists", HeapFreeListArray),
("LockVariable", v_uint32),
("CommitRoutine", v_ptr),
("FrontEndHeap", v_ptr),
("FrontEndHeapLockCount", v_uint16),
("FrontEndHeapType", v_uint8),
("LastSegmentIndex", v_uint8)
]
class EXCEPTION_RECORD(VStruct):
_fields_ = [
("ExceptionCode", DWORD),
("ExceptionFlags", DWORD),
("ExceptionRecord", v_ptr), # Pointer to the next
("ExceptionAddress", v_ptr),
("NumberParameters", DWORD),
#("ExceptionInformation", DWORD[NumberParameters])
]
class EXCEPTION_REGISTRATION(VStruct):
_fields_ = [
("prev", v_ptr),
("handler", v_ptr),
]
| [
"[email protected]"
] | |
222cf635654899e2f70d56d71f7342f179ea4fdd | a4753147801dbabfec45f6f9f47572cda77efb81 | /debugging-constructs/ibmfl/aggregator/fusion/dt_fusion_handler.py | 6888cde3062ef7e198ffce36cd05995513cf56c0 | [
"MIT"
] | permissive | SEED-VT/FedDebug | e1ec1f798dab603bd208b286c4c094614bb8c71d | 64ffa2ee2e906b1bd6b3dd6aabcf6fc3de862608 | refs/heads/main | 2023-05-23T09:40:51.881998 | 2023-02-13T21:52:25 | 2023-02-13T21:52:25 | 584,879,212 | 8 | 0 | null | null | null | null | UTF-8 | Python | false | false | 9,110 | py | """
Licensed Materials - Property of IBM
Restricted Materials of IBM
20221069
© Copyright IBM Corp. 2022 All Rights Reserved.
"""
import numpy as np
import logging
from ibmfl.model.dt_fl_model import DTFLModel
from ibmfl.model.model_update import ModelUpdate
from ibmfl.aggregator.fusion.fusion_handler import FusionHandler
from ibmfl.exceptions import HyperparamsException
logger = logging.getLogger(__name__)
class ID3FusionHandler(FusionHandler):
"""
Class for training decision tree type model in aggregator side
"""
def __init__(self,
hyperparams,
proto_handler,
data_handler,
fl_model=None,
**kwargs):
"""
Initializes an DecisionTreeFusionHandler object with provided
hyperparams, data_handler and fl_model.
:param hyperparams: Hyperparameters used for training
:type hyperparams: `dict`
:param proto_handler: Proto_handler that will be used to send message
:type proto_handler: `ProtoHandler`
:param data_handler: data handler that will be used to obtain data
:type data_handler: `DataHandler`
:param fl_model: (optional) model to be trained
:type fl_model: `model.FLModel`
:param kwargs: Additional arguments to initialize a fusion handler.
:type kwargs: `Dict`
"""
if fl_model is None:
spec = data_handler.get_dataset_info()
fl_model = DTFLModel(None, spec)
super().__init__(hyperparams, proto_handler, data_handler, fl_model,
**kwargs)
self.name = "ID3DecisionTreeFusion"
try:
if hyperparams['global'] is not None and \
'max_depth' in hyperparams['global']:
self.max_depth = hyperparams['global']['max_depth']
else:
self.max_depth = 3
logger.info('No maximum depth of the tree was provided, '
'max_depth is set to the default value ' +
str(self.max_depth))
except Exception as e:
logger.exception(str(e))
raise HyperparamsException('Global hyperparameters are badly formed. '+str(e))
def reach_termination_criteria(self, root=None):
"""
Return True when termination criteria has been reached, otherwise
returns False.
Termination criteria is reached when the tree grows to its leaves and
there is nothing to be split.
:return: boolean
:rtype: 'boolean'
"""
if root is not None and root['leaf']:
return True
return False
def build_branch(self, node, current_list_of_features=None,
current_feature_values=None, splits=[]):
"""
Create a decision tree branch on a given node.
:param node: A given node to start building the tree
:type node: `dict`
:param current_list_of_features: (Optional) A list stores current \
list of features that waiting to be split.
:type current_list_of_features: `list`
:param current_feature_values: (Optional) A list stores the \
corresponding feature value range.
:type current_feature_values: `list`
:param splits: A list containing the tree split information, \
e.g. {[feature, feature_value]}
:type splits: `list`
:return: None
"""
if self.reach_termination_criteria(node):
logger.info('Reach leaf.')
return
if current_list_of_features is None:
current_list_of_features = self.fl_model.list_of_features[:]
if current_feature_values is None:
current_feature_values = self.fl_model.feature_values[:]
split_value = node['split']
split_index = current_list_of_features.index(split_value)
current_list_of_features.remove(
current_list_of_features[split_index])
logger.info('Deleting feature ' + str(split_index) +
' from list of features')
remove_feature_values = current_feature_values[split_index]
current_feature_values = \
current_feature_values[0:split_index] + \
current_feature_values[split_index + 1:]
logger.info('Deleting feature value ' + str(remove_feature_values)
+ ' from feature value list')
for feature_value in remove_feature_values:
curr_splits = splits[:]
curr_splits.append([split_value, feature_value])
self.fl_model.update_model(
new_list_of_features=current_list_of_features[:],
new_feature_values=current_feature_values[:])
node[feature_value] = self.build_node(curr_splits)
self.build_branch(node[feature_value],
current_list_of_features[:],
current_feature_values[:],
splits=curr_splits)
def build_node(self, splits=[]):
"""
Create a tree node based on parties information, splits and max_depth requirement.
:param splits: A list containing the tree split information, e.g. {[feature_index, feature_value]}
:type splits: `list`
:return: A decision tree node
:rtype: `dict`
"""
model = self.fl_model
if len(model.feature_values) == 0 or len(splits) >= self.max_depth:
fit_params = {'split': splits,
'list_of_labels': model.list_of_labels
}
lst_model_updates = self.query_all_parties(fit_params)
model_updates = self.fusion_collected_responses(lst_model_updates)
label_counts = model_updates.get("counts_info")
return {'leaf': True,
'counts': label_counts,
'outcome': model.list_of_labels[
label_counts.index(max(label_counts))],
'split': None}
fit_params = {'split': splits[:],
'list_of_labels': model.list_of_labels,
'feature_values': model.feature_values,
'list_of_features': model.list_of_features
}
lst_model_updates = self.query_all_parties(fit_params)
model_updates = self.fusion_collected_responses(lst_model_updates)
scores = []
all_label_counts = np.array(model_updates.get("counts_info"))
all_label_counts = np.transpose(
np.reshape(all_label_counts, [-1, len(model.list_of_labels)]))
all_counts = np.sum(all_label_counts, axis=0)
all_scores = all_label_counts * np.log2(
np.divide(all_label_counts, all_counts,
out=np.zeros_like(all_label_counts, dtype=float),
where=all_counts != 0),
out=np.zeros_like(all_label_counts, dtype=float),
where=all_label_counts != 0)
score_per_feature_value = np.sum(all_scores, axis=0)
for feature_value in model.feature_values:
score = np.sum(score_per_feature_value[0:len(feature_value)],
axis=0)
score_per_feature_value = score_per_feature_value[
len(feature_value):]
scores.append(score)
return {'leaf': False,
'counts': None,
'outcome': None,
'split': model.list_of_features[scores.index(max(scores))]}
def start_global_training(self, root=None):
"""
Create a decision tree model.
:param root: (Optional) the root of the decision tree
:type root: `dict`
:return: None
"""
if root is None and len(self.fl_model.tree_model) == 0:
root = self.build_node()
else:
root = self.fl_model.tree_model
logger.info('Root of the tree is built :)')
self.build_branch(root)
self.fl_model.tree_model = root
def get_global_model(self):
"""
Returns latest tree model stored in fl_model object.
:return: A dictionary contains the tree structure
:rtype: `ModelUpdate`
"""
model_update = ModelUpdate(tree_model=self.fl_model.tree_model)
return model_update
def fusion_collected_responses(self, lst_model_updates):
"""
Receives a list of model updates, where a model update is of the type `ModelUpdate`, \
using the counts in each model_update,
it returns the sum of all counts.
:param list of model updates: Counts of type `ModelUpdate` to be summed up.
:type list of model updates: `list`
:return: Model updates with sum of counts
:rtype: `ModelUpdate`
"""
c = []
for update in lst_model_updates:
c.append(update.get('counts_info'))
counts = np.sum(np.array(c), axis=0)
return ModelUpdate(counts_info=counts.tolist())
| [
"[email protected]"
] | |
87a95868383862865aaa76c7f00e32695dc68955 | bb373604f1b17f3ea4030dfd98eebad6d03da2ff | /utils/tokenizer.py | a3ba38049444c5b8f82630370a8ddc6e9b0329f7 | [] | no_license | dystudio/classic_chinese_punctuate | 43d348625e55e8ecb24ef469fd1dfe516135e23b | 9a657690fdd203e370957ecf6574a1a5d63a5062 | refs/heads/master | 2023-03-26T22:30:09.366543 | 2018-11-27T10:44:03 | 2018-11-27T10:44:03 | null | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 8,602 | py | # encoding: utf-8
"""
@author: BrikerMan
@contact: [email protected]
@blog: https://eliyar.biz
@version: 1.0
@license: Apache Licence
@file: tokenizer
@time: 2018/11/24
"""
import os
import random
import json
import h5py
import numpy as np
import tqdm
from typing import List, Dict
from keras.preprocessing import sequence
from utils.embedding import Word2Vec
from utils.macros import PAD, BOS, EOS, UNK, NO_TAG
from utils import helper
class Tokenizer(object):
PAD = PAD
BOS = BOS
EOS = EOS
UNK = UNK
NO_TAG = NO_TAG
PAD_ID = 0
BOS_ID = 1
EOS_ID = 2
UNK_ID = 3
NO_TAG_ID = 1
def __init__(self):
self.url = ''
self.word2idx = {}
self.idx2word = {}
self.labels2idx = {}
self.idx2labels = {}
self.max_length = 100
self.w2v = None
def class_weights(self):
base_weight = {
helper.macros.PAD: 0.01,
helper.macros.NO_TAG: 0.7
}
weights = [base_weight.get(i, 1) for i in self.labels2idx]
return np.asarray(weights)
def build(self,
corpus_path: str,
tokenizer_path: str,
label_only=False,
min_accor=3):
if not label_only:
file_list = helper.get_all_files(corpus_path)
word2count = {}
for file in tqdm.tqdm(file_list, 'building tokens'):
lines = open(file, 'r', encoding='utf-8').read().splitlines()
for line in lines:
x, _ = helper.format_line(line)
for word in line:
word2count[word] = word2count.get(word, 0) + 1
self.word2idx = {
Tokenizer.PAD: Tokenizer.PAD_ID,
Tokenizer.BOS: Tokenizer.BOS_ID,
Tokenizer.EOS: Tokenizer.EOS_ID,
Tokenizer.UNK: Tokenizer.UNK_ID,
}
sorted_word2count = [(k, word2count[k]) for k in sorted(word2count, key=word2count.get, reverse=True)]
for word, count in sorted_word2count:
if count >= min_accor:
self.word2idx[word] = len(self.word2idx)
label2count = {
helper.macros.PAD: 0,
helper.macros.NO_TAG: 1
}
for mark in helper.TARGET_CHARS:
label2count[mark] = len(label2count)
self.labels2idx = {
Tokenizer.PAD: Tokenizer.PAD_ID,
Tokenizer.NO_TAG: Tokenizer.NO_TAG_ID
}
for k, v in label2count.items():
if k not in self.labels2idx:
self.labels2idx[k] = len(self.labels2idx)
helper.make_dir_if_needs(os.path.join(tokenizer_path, 'word2idx.json'))
if not label_only:
with open(os.path.join(tokenizer_path, 'word2idx.json'), 'w', encoding='utf-8') as w2idx:
w2idx.write(json.dumps(self.word2idx, indent=2, ensure_ascii=False))
with open(os.path.join(tokenizer_path, 'labels2idx.json'), 'w', encoding='utf-8') as l2idx:
l2idx.write(json.dumps(self.labels2idx, indent=2, ensure_ascii=False))
print('-------- tokenize finished ----------')
print('word count : {}'.format(len(self.word2idx)))
print('label count: {}'.format(len(self.labels2idx)))
print('use tokenizer by `tokenizer.load(\'{}\')`'.format(tokenizer_path))
print('-------- tokenize finished ----------')
def load(self, tokenizer_path):
self.word2idx = json.load(open(os.path.join(tokenizer_path, 'word2idx.json'), 'r', encoding='utf-8'))
self.labels2idx = json.load(open(os.path.join(tokenizer_path, 'labels2idx.json'), 'r', encoding='utf-8'))
self.idx2word = dict([(v, k) for (k, v) in self.word2idx.items()])
self.idx2labels = dict([(v, k) for (k, v) in self.labels2idx.items()])
def load_gensim(self, w2v_path):
self.w2v = Word2Vec()
self.w2v.load_gensim(w2v_path)
self.word2idx = self.w2v.word2idx
self.idx2word = self.w2v.idx2word
self.labels2idx = json.load(open(os.path.join(w2v_path, 'labels2idx.json'), 'r', encoding='utf-8'))
self.idx2labels = dict([(v, k) for (k, v) in self.labels2idx.items()])
def tokenize(self, text, padding=True) -> List[int]:
tokens = []
for char in text:
tokens.append(self.word2idx.get(char, Tokenizer.UNK_ID))
if padding:
tokens = [Tokenizer.BOS_ID] + tokens + [Tokenizer.EOS_ID]
return tokens
def de_tokenize(self, tokens: List[int], remove_padding=True) -> List[str]:
text = []
for token in tokens:
text.append(self.idx2word[token])
if remove_padding:
if text[-1] == Tokenizer.EOS:
text = text[:-1]
if text[0] == Tokenizer.BOS:
text = text[1:]
return text
def label_tokenize(self, labels, padding=True) -> List[int]:
tokens = []
for char in labels:
tokens.append(self.labels2idx[char])
if padding:
tokens = [Tokenizer.NO_TAG_ID] + tokens + [Tokenizer.NO_TAG_ID]
return tokens
def label_de_tokenize(self,
tokens: List[int],
remove_padding: bool=True,
length: int=None) -> List[str]:
text = []
if length:
tokens = tokens[:length+2]
for token in tokens:
text.append(self.idx2labels[token])
if remove_padding:
text = text[1:-1]
return text
def tokenize_files(self, files_path, data_path) -> Dict:
h5_path = os.path.join(data_path, 'dataset.h5')
h5 = h5py.File(h5_path, 'a')
data_info = {
'length': []
}
try:
h5.create_dataset('x',
shape=(500, self.max_length),
maxshape=(None, self.max_length),
dtype=np.int32,
chunks=True)
h5.create_dataset('y',
shape=(500, self.max_length),
maxshape=(None, self.max_length),
dtype=np.int32,
chunks=True)
except:
pass
current_index = 0
for file in tqdm.tqdm(helper.get_all_files(files_path),
desc='processing files'):
x_padded, y_padded, x_list, y_list = self.process_by_file(file)
for item in x_list:
data_info['length'].append(len(item))
new_index = current_index + len(x_padded)
if new_index > 500:
h5['x'].resize((new_index, self.max_length))
h5['y'].resize((new_index, self.max_length))
h5['x'][current_index:new_index] = x_padded
h5['y'][current_index:new_index] = y_padded
current_index = new_index
sample_index = random.randint(0, len(h5['x']))
print('-------- tokenize data finished --------')
print('dataset path : {}'.format(os.path.abspath(h5_path)))
print('sample x : {}'.format(h5['x'][sample_index]))
print('sample y : {}'.format(h5['y'][sample_index]))
print('----------------------------------------')
h5.close()
return data_info
def process_by_file(self, file_path, min_lengh=8):
lines = open(file_path, 'r', encoding='utf-8').read().splitlines()
x_list = []
y_list = []
for line in lines:
line = line.strip()
if line:
x, y = format_line(line)
if len(x) == len(y) and len(x) > 8:
x_list.append(self.tokenize(x))
y_list.append(self.label_tokenize(y))
x_padded = sequence.pad_sequences(x_list, maxlen=self.max_length, padding='post')
y_padded = sequence.pad_sequences(y_list, maxlen=self.max_length, padding='post')
return x_padded, y_padded, x_list, y_list
def format_line(text):
"""
格式化一行数据
:param text:
:return:
"""
text = text
target_x = []
target_label = []
for char in text:
if helper.chinese_regex.match(char):
target_x.append(char)
target_label.append('O')
elif char in helper.TARGET_CHARS and len(target_label) > 0:
target_label[-1] = char
return target_x, target_label
if __name__ == '__main__':
print("hello, world") | [
"[email protected]"
] | |
4d4d51aa814dfd29d50290261d6d9ce681a302e8 | d2c4151eff768af64946ababc2e41c13d8973cd3 | /ARC105/a.py | f9f21d8dd457a05c96bd9eb45c5f8bcd344e63e9 | [] | no_license | Intel-out-side/AtCoder | 2de19b71981247135432aed2d6d9c2a16c3ab7f0 | 0c419d2df15fff02032432cb1b1323612484e16e | refs/heads/master | 2022-06-23T04:21:12.886072 | 2022-06-13T14:39:07 | 2022-06-13T14:39:07 | 235,240,853 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 229 | py | import math
N = int(input())
for a in range(1, 100):
tmp = N - 3**a
if tmp < 5:
print(-1)
exit()
for b in range(1, 100):
if 5**b == tmp:
print(a, b)
exit()
print(-1)
| [
"[email protected]"
] | |
bb5260b71015d345a88ae42ed0488418d428fac1 | 1f3bed0bb480a7d163dab73f1d315741ecbc1072 | /vtkplotter_examples/other/trimesh/section.py | 5dbcbdb40fe1f58a43833bc7fec62a29fa4cd2b8 | [
"MIT"
] | permissive | ismarou/vtkplotter-examples | 1ce78197182da7496b016b27f1d5eb524c49cac6 | 1eefcc026be169ab7a77a5bce6dec8044c33b554 | refs/heads/master | 2021-03-11T18:43:22.313457 | 2020-03-03T22:11:25 | 2020-03-03T22:11:25 | 246,551,341 | 4 | 0 | null | 2020-03-11T11:18:48 | 2020-03-11T11:18:47 | null | UTF-8 | Python | false | false | 1,721 | py | import trimesh
import numpy as np
from vtkplotter import show, Plane, Text2D, printc, download
# load the mesh from filename, file objects are also supported
f = download('https://github.com/mikedh/trimesh/raw/master/models/featuretype.STL')
mesh = trimesh.load_mesh(f)
# get a single cross section of the mesh
txt = Text2D('cross section of the mesh', c='k')
mslice = mesh.section(plane_origin=mesh.centroid, plane_normal=[0,0,1])
pl = Plane(mesh.centroid, normal=[0,0,1], sx=6, sy=4, alpha=0.3)
slice_2D, to_3D = mslice.to_planar()
# show objects on N=2 non-synced renderers:
show([(mesh, pl), (slice_2D, txt)], N=2, sharecam=False, axes=True)
# if we wanted to take a bunch of parallel slices, like for a 3D printer
# we can do that easily with the section_multiplane method
# we're going to slice the mesh into evenly spaced chunks along z
# this takes the (2,3) bounding box and slices it into [minz, maxz]
z_extents = mesh.bounds[:,2]
# slice every .125 model units (eg, inches)
z_levels = np.arange(*z_extents, step=0.125)
# find a bunch of parallel cross sections
sections = mesh.section_multiplane(plane_origin=mesh.bounds[0],
plane_normal=[0,0,1],
heights=z_levels)
N = len(sections)
printc("nr. of sections:", N, c='green')
# summing the array of Path2D objects will put all of the curves
# into one Path2D object, which we can plot easily
combined = np.sum(sections)
sections.append([combined, Text2D('combined')])
# show objects in N synced renderers:
show(sections, N=N, axes=True, newPlotter=True)
# the medial axis is available for closed Path2D objects
show(slice_2D + slice_2D.medial_axis(), axes=True, newPlotter=True)
| [
"[email protected]"
] | |
3dc9519fbdd363764163d3eefaebd7907a2214a1 | ac0957824d2730170603b6af26e38177965208a6 | /build/beginner_tutorials/catkin_generated/pkg.develspace.context.pc.py | fc1d02a638249646cd9aab97cb2ef6c8c924b854 | [] | no_license | JelenaKiblik/jekibl-rtech | 6c9c0ee78e4a2bf539ecac9f050110e96551171f | a3b4ef8bdfaba64a1209d695db78b6b7d7074c19 | refs/heads/master | 2020-08-01T06:29:20.727647 | 2019-11-17T10:38:14 | 2019-11-17T10:38:14 | 210,897,762 | 0 | 0 | null | null | null | null | UTF-8 | Python | false | false | 461 | py | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/ubuntu/jekibl-rtech/devel/include".split(';') if "/home/ubuntu/jekibl-rtech/devel/include" != "" else []
PROJECT_CATKIN_DEPENDS = "".replace(';', ' ')
PKG_CONFIG_LIBRARIES_WITH_PREFIX = "".split(';') if "" != "" else []
PROJECT_NAME = "beginner_tutorials"
PROJECT_SPACE_DIR = "/home/ubuntu/jekibl-rtech/devel"
PROJECT_VERSION = "0.0.0"
| [
"[email protected]"
] |
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