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212
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
96c2ec060f70a8e9139ce63b70641cb1ab6e8511
|
3a4fbde06794da1ec4c778055dcc5586eec4b7d2
|
/SQLAlchemy-0.5.4p2/examples/elementtree/pickle.py
|
220bb2295386a75a1311c597f76514c078ad8ffb
|
[
"MIT"
] |
permissive
|
raychorn/svn_python-django-projects
|
27b3f367303d6254af55c645ea003276a5807798
|
df0d90c72d482b8a1e1b87e484d7ad991248ecc8
|
refs/heads/main
| 2022-12-30T20:36:25.884400
| 2020-10-15T21:52:32
| 2020-10-15T21:52:32
| 304,455,211
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,018
|
py
|
"""illustrates a quick and dirty way to persist an XML document expressed using ElementTree and pickle.
This is a trivial example using PickleType to marshal/unmarshal the ElementTree
document into a binary column. Compare to explicit.py which stores the individual components of the ElementTree
structure in distinct rows using two additional mapped entities. Note that the usage of both
styles of persistence are identical, as is the structure of the main Document class.
"""
from sqlalchemy import (create_engine, MetaData, Table, Column, Integer, String,
PickleType)
from sqlalchemy.orm import mapper, create_session
import sys, os
import logging
logging.basicConfig()
# uncomment to show SQL statements
#logging.getLogger('sqlalchemy.engine').setLevel(logging.INFO)
# uncomment to show SQL statements and result sets
#logging.getLogger('sqlalchemy.engine').setLevel(logging.DEBUG)
from xml.etree import ElementTree
engine = create_engine('sqlite://')
meta = MetaData(engine)
# stores a top level record of an XML document.
# the "element" column will store the ElementTree document as a BLOB.
documents = Table('documents', meta,
Column('document_id', Integer, primary_key=True),
Column('filename', String(30), unique=True),
Column('element', PickleType)
)
meta.create_all()
# our document class. contains a string name,
# and the ElementTree root element.
class Document(object):
def __init__(self, name, element):
self.filename = name
self.element = element
# setup mapper.
mapper(Document, documents)
###### time to test ! #########
# get ElementTree document
filename = os.path.join(os.path.dirname(__file__), "test.xml")
doc = ElementTree.parse(filename)
# save to DB
session = create_session()
session.add(Document("test.xml", doc))
session.flush()
# clear session (to illustrate a full load), restore
session.expunge_all()
document = session.query(Document).filter_by(filename="test.xml").first()
# print
document.element.write(sys.stdout)
|
[
"raychorn@gmail.com"
] |
raychorn@gmail.com
|
819c2a0bc256c3c24169c4a6e29f6731b02f8ea4
|
a56a92b18e423f66db497ac905b02b08eb1c040a
|
/solutions/sortcolours.py
|
e20ada97aeab0e5a7749523f728ef8d35a65a6e3
|
[] |
no_license
|
DeepakSunwal/Daily-Interview-Pro
|
12294218a1e5a5e522ad2c491ca00e39581efdfc
|
1a9a9a0e1116eda854132164051086d9b0386184
|
refs/heads/master
| 2021-01-02T10:01:23.356507
| 2020-01-31T17:18:23
| 2020-01-31T17:18:23
| 239,569,007
| 1
| 0
| null | 2020-02-10T17:18:49
| 2020-02-10T17:18:48
| null |
UTF-8
|
Python
| false
| false
| 1,073
|
py
|
def sort_colours(colours):
left = 0
right = len(colours) - 1
while left < right:
if colours[left] != 0 and colours[right] == 0:
temp = colours[right]
colours[right] = colours[left]
colours[left] = temp
else:
if colours[right] != 0:
right -= 1
if colours[left] == 0:
left += 1
right = len(colours) - 1
while left < right:
print(colours)
print(colours[left], colours[right])
if colours[left] != 1 and colours[right] == 1:
temp = colours[right]
colours[right] = colours[left]
colours[left] = temp
else:
if colours[right] != 1:
right -= 1
if colours[left] == 1:
left += 1
return colours
def main():
assert sort_colours([2, 0, 2, 1, 1, 0]) == [0, 0, 1, 1, 2, 2]
assert sort_colours([0, 1, 2, 2, 1, 1, 2, 2, 0, 0, 0, 0, 2, 1]) == [0, 0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 2]
if __name__ == '__main__':
main()
|
[
"ckallumke@gmail.com"
] |
ckallumke@gmail.com
|
93dab1bd92832266e305366a0e12cb2522e07b4b
|
d5a6ad0eabe229f025f7852f57331c0c464b21fd
|
/8-16.py
|
b2c06fdb42802a730dff0a6df846e031f8534e6f
|
[] |
no_license
|
t4kenn/python
|
6bb7462a6e1a156b1c63c9e697c7e04f2b4445f5
|
fb269671301761454916eaf7b9979a120e112c1c
|
refs/heads/master
| 2023-08-11T01:34:07.468003
| 2021-09-22T00:52:23
| 2021-09-22T00:52:23
| 409,018,151
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 131
|
py
|
n = {"id" : 100,"name" : "大原太郎", "age" : 19}
n["age"] = 20
for key,value in n.items():
print(key, ":", value, sep="")
|
[
"ykh2135151@stu.o-hara.ac.jp"
] |
ykh2135151@stu.o-hara.ac.jp
|
331e61ff53942c28609b93239ce7dbf1b4c43c37
|
385c6e5e1b3a00217a21ae1ea10edea470e8a295
|
/recommendSystem/calculate.py
|
831488c4c21852d453bd576952710970eae759f3
|
[] |
no_license
|
13690842809/recommendSystem
|
13966d6b278e59ed0fde055c2c627b7d38cfbc92
|
86335af50db4d7b4a7b1ff492fc0d016e17ffe8b
|
refs/heads/master
| 2021-01-19T21:41:37.415934
| 2017-04-19T02:26:25
| 2017-04-19T02:26:25
| 88,690,397
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 120
|
py
|
# for i in range(1,30+1):
# print(float(30/i),round(30/i),round(30/i)*i)
import random
print(random.randint(1,100))
|
[
"noreply@github.com"
] |
13690842809.noreply@github.com
|
b56e089475355cab6b64ed77bf9bceac0283dd6d
|
5f9f9ce3c08f7faf5ff97d17290e71460b9ca4e2
|
/bin/bigpanda-splunk-configure
|
1494c13d518aac970d589cf64275327848d9ace0
|
[
"Apache-2.0"
] |
permissive
|
bigpandaio/bigpanda-splunk
|
844b18ddbdede1916c5cb15fc7dcb4d54cbebc3f
|
0af83f6512de32e6694621c8ad0590e634010496
|
refs/heads/master
| 2023-04-13T05:59:51.012346
| 2014-11-05T07:50:14
| 2014-11-05T07:50:14
| 23,677,756
| 0
| 2
|
Apache-2.0
| 2023-03-31T19:09:14
| 2014-09-04T20:14:06
|
Python
|
UTF-8
|
Python
| false
| false
| 149
|
#!/usr/bin/env python
from bigpanda_splunk.configure import configure
import os
import sys
configure(os.path.join(os.getcwd(), __file__), sys.argv)
|
[
"erik.zaadi@gmail.com"
] |
erik.zaadi@gmail.com
|
|
be8452da0024401064e68544eae38b8f503edbb3
|
88a9d5c504d422bb46dbdec762bbfce444b4df92
|
/django_movie/movies/migrations/0002_alter_rating_movie.py
|
4bd9097962b09f9db7a2e81ce3dcab77bcf7a494
|
[] |
no_license
|
Siberian87/Movie_site
|
cde676935f810741fec6185725cf5f7775c21e98
|
02f80e4e8654b90c89b7004fb4c5fa61d0479eed
|
refs/heads/main
| 2023-06-14T13:52:47.338854
| 2021-06-18T10:44:04
| 2021-06-18T10:44:04
| 376,953,885
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 483
|
py
|
# Generated by Django 3.2.4 on 2021-06-15 09:10
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('movies', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='rating',
name='movie',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='movies.movie', verbose_name='фильм'),
),
]
|
[
"user@MacBook-Pro-user.local"
] |
user@MacBook-Pro-user.local
|
9f0388331526b033176eee3a7140c7ffb19dae0e
|
e04f721d9b0a98a30fb51e8cf9bfdc1fd827c488
|
/internado/wsgi.py
|
46a0b8ba6ac3d5949bbbee4139d1e186ef274075
|
[] |
no_license
|
AustinCheco/Mi_prueba_Django
|
df5f9ef1e0f9706e7129a10046c0325592a55eeb
|
9bc3478c282d298e63998bb093a206747b94faf1
|
refs/heads/master
| 2021-06-18T08:31:21.146461
| 2019-07-13T22:56:08
| 2019-07-13T22:56:08
| 196,772,225
| 0
| 0
| null | 2021-06-10T21:42:42
| 2019-07-13T22:38:55
|
Python
|
UTF-8
|
Python
| false
| false
| 395
|
py
|
"""
WSGI config for internado 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", "internado.settings")
application = get_wsgi_application()
|
[
"austincuyocheco@gmail.com"
] |
austincuyocheco@gmail.com
|
b151e03e134c5c2e80bc00d06b6ca7c43b4654c6
|
980699f2c1621cd1752b5db38e68916e17161754
|
/mediamedianaemoda.py
|
1e9d5ee3f4aa7ec21c6970e3a9400a05e790884a
|
[] |
no_license
|
caiooliveirac/estatistica
|
079a7ae195740ae8f4eeefc1d782c32487a213f8
|
96406d514f8cbd9c6d5b1a676b3e3d267466b8e7
|
refs/heads/main
| 2023-06-22T11:11:06.499029
| 2021-07-23T16:46:09
| 2021-07-23T16:46:09
| 388,826,976
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 582
|
py
|
arr = list(map(int,input().rstrip().split(' ')))
def media():
media = sum(arr)/len(arr)
return media
def mediana():
if len(arr) % 2 == 0:
elem1 = sorted(arr)[len(arr)//2]
elem2 = sorted(arr)[(len(arr)//2)-1]
return (elem1 + elem2)/2
else:
mediana = sorted(arr)[len(arr)//2]
return mediana
def moda():
return max(arr,key=arr.count)
def stats():
a = media()
b= mediana()
c = moda()
print(round(a,2))
print(round(b,2))
print(c)
if __name__ == '__main__':
stats()
|
[
"noreply@github.com"
] |
caiooliveirac.noreply@github.com
|
44b84ed057f077bfb51dc248dfe04fe9858db108
|
53e7b46d2928b95105c8c5330ebf434e49731575
|
/qn1.py
|
0a5b2903373dd073443004097c038d89c9413935
|
[] |
no_license
|
Sujankhyaju/Trainee_python_Assignment
|
3ef46992b136031fc837e01accb677a02852139b
|
7fea51ba7f4b71da6999c96f4e28a59fa7480a64
|
refs/heads/master
| 2023-08-11T11:58:49.582905
| 2021-09-10T12:05:50
| 2021-09-10T12:05:50
| 404,970,110
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 713
|
py
|
# Make a list of ten students in your class. Print the name of each student whose name starts with ‘B’.
def filterStudents(list1):
'''
shows the name of student whose name starts with 'B'
'''
for name in list1:
if ord(name[0]) == 66: #checks if the name starts with 'B'. Asci value of B is 66 and b is 98
print(name)
def registerStudent():
'''
take names of students
'''
std = list()
print("Enter name of 10 students in your class\n")
for i in range(1,11):
name = input(f"{i} -->")
std.append(name)
return std
def main():
std = registerStudent()
filterStudents(std)
if __name__ == '__main__':
main()
|
[
"I33489@verisk.com"
] |
I33489@verisk.com
|
8cf28e90d2bcbd1f81c169d76168147071d9e225
|
51b838412b7d9d38e398fefff92a0f17b3e040d7
|
/enso/enso/contrib/scriptotron/ensoapi.py
|
a4cb12b67d501d86a9a521f683ec1550f48cd65d
|
[
"BSD-2-Clause"
] |
permissive
|
thdoan/enso-portable
|
ed87bb30f3fe5d95e8dc6f3c4fa2a1a3a46f37fc
|
2dd6db78f40811d78fe9a162ec95eac14bda2250
|
refs/heads/master
| 2020-04-05T19:01:50.058547
| 2015-01-11T16:46:56
| 2015-01-11T16:46:56
| 28,119,291
| 8
| 5
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,922
|
py
|
import xml.sax.saxutils
from enso.messages import displayMessage
from enso import selection
class EnsoApi(object):
"""
A simple facade to Enso's functionality for use by commands.
"""
def display_message(self, msg, caption=None):
"""
Displays the given message, with an optional caption. Both
parameters should be unicode strings.
"""
if not isinstance(msg, basestring):
msg = unicode(msg)
msg = xml.sax.saxutils.escape(msg)
xmltext = "<p>%s</p>" % msg
if caption:
caption = xml.sax.saxutils.escape(caption)
xmltext += "<caption>%s</caption>" % caption
return displayMessage(xmltext)
def get_selection(self):
"""
Retrieves the current selection and returns it as a
selection dictionary.
"""
return selection.get()
def set_selection(self, seldict):
"""
Sets the current selection to the contents of the given
selection dictionary.
Alternatively, if a string is provided instead of a
dictionary, the current selection is set to the unicode
contents of the string.
"""
if isinstance(seldict, basestring):
seldict = { "text" : unicode(seldict) }
return selection.set(seldict)
def get_enso_commands_folder(self):
"""
Returns the location of the Enso scripts folder.
"""
from enso.providers import getInterface
return getInterface("scripts_folder")()
def get_commands_from_text(self, text):
"""
Given a block of Python text, returns all the valid Enso
commands defined therein.
"""
from cmdretriever import getCommandsFromObjects
execGlobals = {}
exec text in execGlobals
commands = getCommandsFromObjects( execGlobals )
return commands
|
[
"gchristnsn@gmail.com"
] |
gchristnsn@gmail.com
|
e3ea75eec250197dd030f88d7bb8fdb47807bab0
|
eb9f655206c43c12b497c667ba56a0d358b6bc3a
|
/python/testData/refactoring/rename/renameUpdatesImportReferences/before/a.py
|
990c241c88d830934b115f98f771d048a07c4652
|
[
"Apache-2.0"
] |
permissive
|
JetBrains/intellij-community
|
2ed226e200ecc17c037dcddd4a006de56cd43941
|
05dbd4575d01a213f3f4d69aa4968473f2536142
|
refs/heads/master
| 2023-09-03T17:06:37.560889
| 2023-09-03T11:51:00
| 2023-09-03T12:12:27
| 2,489,216
| 16,288
| 6,635
|
Apache-2.0
| 2023-09-12T07:41:58
| 2011-09-30T13:33:05
| null |
UTF-8
|
Python
| false
| false
| 17
|
py
|
import f<caret>oo
|
[
"andrey.vlasovskikh@jetbrains.com"
] |
andrey.vlasovskikh@jetbrains.com
|
251bae5aaf32ca72cd850246ab648153d3a872dc
|
2a1d7cef10bd4d030e7f05c2eee342099ee3affa
|
/lecture13PloyMorphism-part2.py
|
81a16f096738948cd40a77834aac16adaeb71f82
|
[] |
no_license
|
mohd-tanveer/PythonAdvance
|
8dc096edc75975eaa44af005c691aa15428c9254
|
dd4ac13a7b59cee33f94fcb5c88f52f3ffc0a6ae
|
refs/heads/master
| 2022-11-18T21:05:11.547842
| 2020-07-20T06:38:14
| 2020-07-20T06:38:14
| 273,145,823
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,715
|
py
|
##polymorphism-2
#Operator overloading 2
#let's try to print the object
class Book:
def __init__(self,pages):
self.pages=pages
b1=Book(100)
''' output : main<>.object at x0246036
class Book:
def __init__(self,pages):
self.pages=pages
def __str__(self):
return('the number of pages :'+str(self.pages)) ##both should of of string type for concatenation
#it is used just as print purpose of type string
#def __add__(self,other):
# self.pages+other.pages
def __add__(self,other):
total=self.pages+other.pages
b=Book(total)
return b
#Similarly we can use __mul__ and other operator
def __mul__(self,other):
total=self.pages+other.pages
b=Book(total)
return b
b1=Book(100)
print(b1)##it will call __str__
b2=Book(200)
print(b1+b2)#it will call __add__
b3=Book(300)
print(b1+b2+b3)# output will be unsupported(b1+b2) is int type and B3 is Book Type , to overcome this let's modify __add__
#now the output will be 300 with return type as Book ---600
b4=Book(700)
print(b1+b2+b3+b4)## now we can add as many as possible
''' Whenever we are calling + operator then __add__() method will be called
whenever er are printing object reference then __str__() method will be called
'''
print(b1+b2*b3+b4) #the output will be: the number of pages:60700
##example 2
class Student:
def __init__(self,name,marks):
self.name=name
slef.marks=name
def __lt__(self,other):
self.marks<other.marks
s1= Student('durga',100)
s2= Student('Sabi',200)
print(s1<s2) #we want to compare the marks of student.
##example 3
class Employee:
def __init__(self,name,salary):
self.name=salary
slef.salary=salary
def __mul__(self,other):
return self.salary*other.days
class TimeSheet:
def __init__(self,name,days):
self.name=name
self.days=days
def __mul__(self,other):
self.days*other.salary
e=Employee('tanv',800)
t=TimeSheet('tanv',25)
print('this months salary is',e*t)
print('this months salary :'t*e) #to work this we need to define the __mul__ in Timehseet
############ Method Overloading #############
####################################################
# same name of method but different argument types
# but in python we never define the argument type hence python does not support Method Overloading
# However if we write method overloading last method will be called everytime
#example
class Test:
def m1(self):
print('no-arg method):
def m1(self,x):
print('no-arg method):
t=test()#it will not work because as soon as we decalre the second method with the same name first method gone
t=test(11)#it will work
#let's discuss alternate method in next class
|
[
"noreply@github.com"
] |
mohd-tanveer.noreply@github.com
|
d0829958bc123518a9020ef7a50424eb6c3cf05c
|
77ab53380f74c33bb3aacee8effc0e186b63c3d6
|
/5356_luck_number_in_matrix.py
|
e3e46bb57b5d7ef93ba3454821dad28f4b2981fd
|
[] |
no_license
|
tabletenniser/leetcode
|
8e3aa1b4df1b79364eb5ca3a97db57e0371250b6
|
d3ebbfe2e4ab87d5b44bc534984dfa453e34efbd
|
refs/heads/master
| 2023-02-23T18:14:31.577455
| 2023-02-06T07:09:54
| 2023-02-06T07:09:54
| 94,496,986
| 2
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,288
|
py
|
'''
Given a m * n matrix of distinct numbers, return all lucky numbers in the matrix in any order.
A lucky number is an element of the matrix such that it is the minimum element in its row and maximum in its column.
Example 1:
Input: matrix = [[3,7,8],[9,11,13],[15,16,17]]
Output: [15]
Explanation: 15 is the only lucky number since it is the minimum in its row and the maximum in its column
Example 2:
Input: matrix = [[1,10,4,2],[9,3,8,7],[15,16,17,12]]
Output: [12]
Explanation: 12 is the only lucky number since it is the minimum in its row and the maximum in its column.
Example 3:
Input: matrix = [[7,8],[1,2]]
Output: [7]
Constraints:
m == mat.length
n == mat[i].length
1 <= n, m <= 50
1 <= matrix[i][j] <= 10^5.
All elements in the matrix are distinct.
'''
class Solution(object):
def luckyNumbers(self, matrix):
min_nums_in_rows = set()
max_nums_in_cols = set()
for row in matrix:
min_nums_in_rows.add(min(row))
for i in range(len(matrix[0])):
col = [matrix[j][i] for j in range(len(matrix))]
max_nums_in_cols.add(max(col))
result = min_nums_in_rows.intersection(max_nums_in_cols)
return list(result)
s = Solution()
m = [[3,7,8],[9,11,13],[15,16,17]]
print(s.luckyNumbers(m))
|
[
"tabletenniser@gmail.com"
] |
tabletenniser@gmail.com
|
79fceff98271d886941b8b4cb590ee0b73f4764f
|
788708a52401cb7e482ecc4758f19a53739c3c8c
|
/codeforces/cf_550/b.py
|
99486a8eb169bbd67ff4baa999d2faa5e982ac9e
|
[] |
no_license
|
gsravank/ds-algo
|
9e8c55ada485547b3452e17ff10660328f0cd28f
|
818198126db3aa40d0bf096ad462b5293d1e29c9
|
refs/heads/master
| 2020-04-21T16:58:38.324009
| 2019-05-30T15:31:28
| 2019-05-30T15:31:28
| 169,720,677
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 694
|
py
|
import heapq
n = int(input())
a = list(map(int, input().split()))
parity_map = {0: [], 1: []}
for ai in a:
parity_map[ai % 2].append(ai)
odd_len = len(parity_map[1])
even_len = len(parity_map[0])
min_heap = list()
if abs(odd_len - even_len) <= 1:
print(0)
else:
if odd_len > even_len:
rem_len = odd_len - even_len - 1
rel_elems = parity_map[1]
else:
rem_len = even_len - odd_len - 1
rel_elems = parity_map[0]
heapq.heapify(rel_elems)
# print(rel_elems)
ans = 0
for _ in range(rem_len):
curr = heapq.heappop(rel_elems)
ans += curr
print(ans)
# print(rel_elems)
"""
10
2 1 3 5 7 9 11 13 15 17
"""
|
[
"kumarsravangs@gmail.com"
] |
kumarsravangs@gmail.com
|
dc883bb6c8566a1cca492ac09213b898f330f17e
|
443cdd946b638fcbf97f249e8a887e7eba30a8d1
|
/Allocation/urls.py
|
1f35604ea603236f7f2dd9a00bcc63bb53ffe378
|
[] |
no_license
|
ilyashumilov/Alllocation
|
eb22222a68fde67c0c6df54f9dd65e62b6e1b4ee
|
16e02414d50dd1a47a1cf5347e8699dd118c1965
|
refs/heads/main
| 2023-08-10T21:14:41.635891
| 2021-09-19T08:51:09
| 2021-09-19T08:51:09
| 408,074,749
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 797
|
py
|
"""Allocation URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/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
urlpatterns = [
path('', include('base.urls')),
path('admin/', admin.site.urls),
]
|
[
"ilya.sadventure@gmail.com"
] |
ilya.sadventure@gmail.com
|
3d529053e7cb746231380c2095b4842ba4f50f7c
|
a81c057d388bac914a4cd8c714dd13e298f28d94
|
/Problem 3.py
|
452c5d5cbd1f958e904fad90ec48910e474e8563
|
[] |
no_license
|
AvijitMaity/Avijit-Maity-Computational-Physics-2-Assignment-2
|
8a575c3eafe5db84af2520276f21df25bb5e3e3b
|
325dfc6a8e5587e727dc1dc74dc133f5e956bb64
|
refs/heads/master
| 2022-04-22T18:19:35.109350
| 2020-04-21T08:12:26
| 2020-04-21T08:12:26
| 257,411,319
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,891
|
py
|
'''
Runge-Kutta Method
====================================================================
Author: Avijit Maity
====================================================================
This Program solves the differential equation using
with Runge-Kutta Method
'''
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import odeint
# The ordinary differential equation
def f(x,y,z ):
return z
def g(x,y,z ):
return 2*z - y + x*np.exp(x) - x
# Define the initial values and mesh
# limits: 0.0 <= x <= 1.0
a=0
b=1
h= 0.01 # determine step-size
x = np.arange( a, b+h, h ) # create mesh
N = int((b-a)/h)
y = np.zeros((N+1,)) # initialize y
z = np.zeros((N+1,)) # initialize z
x[0]=0
y[0]=0
z[0]=0
for i in range(1,N+1): # Apply Runge-Kutta Method
k1 = h * f(x[i - 1], y[i - 1], z[i - 1])
l1 = h * g(x[i - 1], y[i - 1], z[i - 1])
k2 = h * f(x[i - 1] + h / 2.0, y[i - 1] + k1 / 2.0, z[i - 1] + l1 / 2.0 )
l2 = h * g(x[i - 1] + h / 2.0, y[i - 1] + k1 / 2.0, z[i - 1] + l1 / 2.0 )
k3 = h * f(x[i - 1] + h / 2.0, y[i - 1] + k2 / 2.0, z[i - 1] + l2 / 2.0)
l3 = h * g(x[i - 1] + h / 2.0, y[i - 1] + k2 / 2.0, z[i - 1] + l2 / 2.0)
k4 = h * f(x[i-1]+h, y[i - 1] + k3, z[i - 1] + l3)
l4 = h * g(x[i-1]+h, y[i - 1] + k3, z[i - 1] + l3)
y[i] = y[i - 1] + (k1 + 2.0 * k2 + 2.0 * k3 + k4) / 6.0
z[i] = z[i - 1] + (l1 + 2.0 * l2 + 2.0 * l3 + l4) / 6.0
# The exact solution for this initial value
def exact( x ):
return (-12 + 12*np.exp(x) - 6*x - 6*np.exp(x)*x + np.exp(x)*x**3)/6
# Plot the Euler solution
from matplotlib.pyplot import *
plot( x, y, label='approximation' )
plot( x, exact(x),":",color="red",label='exact' )
title( "Runge-Kutta Method in a Python, h= 0.01" )
suptitle("Problem 3")
xlabel('x')
ylabel('y(x)')
legend(loc=4)
grid()
show()
|
[
"noreply@github.com"
] |
AvijitMaity.noreply@github.com
|
17cd4aa09c704d7ca398950c4f83f73c92897f8b
|
0991fb3056fefb8cb3c380e37e42a305e5810b2a
|
/catalog/models.py
|
b73117367fc4bf68704457812fedce19269b61e3
|
[] |
no_license
|
uyencfi/integrated-library-system
|
c6827bbe6c07967a6f059aea64f18f73fb52179e
|
f4e2fd24ec35a27f5dab9aeae5b98370c42b9f88
|
refs/heads/master
| 2023-03-29T03:29:03.768148
| 2021-03-30T13:35:27
| 2021-03-30T13:35:27
| 342,171,939
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,754
|
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
# * Make sure each ForeignKey and OneToOneField has `on_delete` set to the desired behavior
# * Remove `managed = False` lines if you wish to allow Django to create, modify, and delete the table
# Feel free to rename the models, but don't rename db_table values or field names.
from django.db import models
from django.urls import reverse
from django.contrib.auth.models import User
from django.utils import timezone
# from django_mongoengine import Document, EmbeddedDocument
# from django_mongoengine import fields
# class User overridden? -> settings.AUTH_USER_MODEL
class Admin(models.Model):
admin_user_id = models.CharField(db_column='adminUserID', primary_key=True, max_length=45) # Field name made lowercase.
password = models.CharField(db_column='passWord', max_length=15) # Field name made lowercase.
class Meta:
db_table = 'Admins'
def __str__(self):
return self.admin_user_id
class Member(models.Model):
user_id = models.CharField(db_column='userID', primary_key=True, max_length=45) # Field name made lowercase.
password = models.CharField(db_column='passWord', max_length=15) # Field name made lowercase.
class Meta:
db_table = 'Members'
def __str__(self):
return self.user_id
class Book(models.Model):
book_id = models.IntegerField(db_column='bookID', primary_key=True) # Field name made lowercase.
borrower_id = models.ForeignKey(User, on_delete=models.SET_NULL, db_column='borrowerID', blank=True, null=True, related_name='loans') # Field name made lowercase.
reserver_id = models.ForeignKey(User, on_delete=models.SET_NULL, db_column='reserverID', blank=True, null=True, related_name='reservations') # Field name made lowercase.
start_date = models.DateField(db_column='startDate', blank=True, null=True) # Field name made lowercase.
due_date = models.DateField(db_column='dueDate', blank=True, null=True) # Field name made lowercase.
reserve_due_date = models.DateField(db_column='reserveDueDate', blank=True, null=True) # Field name made lowercase.
return_date = models.DateField(db_column='returnDate', blank=True, null=True) # Field name made lowercase.
class Meta:
ordering = ['book_id']
db_table = 'Books'
def __str__(self):
return str(self.book_id)
def get_absolute_url(self):
"""Returns the url to access a particular book instance."""
return reverse('book_details', args=[str(self.book_id)])
@property
def is_overdue(self):
return timezone.now().date() > self.due_date
class Fine(models.Model):
user_id = models.OneToOneField(User, on_delete=models.CASCADE, db_column='userID', primary_key=True, related_name='fines') # Field name made lowercase.
amount = models.FloatField(blank=True, null=True)
class Meta:
db_table = 'Fines'
def __str__(self):
return f'{self.user_id} owes ${self.amount} fine'
class Payment(models.Model):
transaction_time = models.DateTimeField(db_column='transactionTime') # Field name made lowercase.
user_id = models.ForeignKey(User, on_delete=models.CASCADE, db_column='userID', related_name='payments') # Field name made lowercase.
amount = models.FloatField(db_column='paid', blank=True, null=True)
card = models.CharField(max_length=20, blank=True, null=True)
class Meta:
ordering = ['-transaction_time']
db_table = 'Payments'
def __str__(self):
return f'{self.user_id} paid {self.amount} at {self.transaction_time}'
|
[
"77076051+uyencfi@users.noreply.github.com"
] |
77076051+uyencfi@users.noreply.github.com
|
e3e79b260ab8dff587ac9348051e9ff68a59b318
|
6a80a15b45cd578bd6a496566474fa6583f6fc13
|
/docs/build/html/_downloads/1e860c42938854d6b061aff9d370f07a/dietmodel.py
|
d209b0d926ef94b0736a955bc7314f1060841f20
|
[
"BSD-3-Clause"
] |
permissive
|
ytakashina/amplpy
|
3c67efcb78ea6c5fac828e025e4be91e3dd7eba0
|
6338e7eab44167c776c16a1da23352bed5910288
|
refs/heads/master
| 2021-05-25T07:33:43.982436
| 2020-02-28T02:14:06
| 2020-02-28T02:14:06
| 253,718,165
| 0
| 0
|
BSD-3-Clause
| 2020-04-07T07:24:21
| 2020-04-07T07:24:21
| null |
UTF-8
|
Python
| false
| false
| 2,202
|
py
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function, absolute_import, division
from builtins import map, range, object, zip, sorted
import sys
import os
def main(argc, argv):
from amplpy import AMPL, DataFrame
os.chdir(os.path.dirname(__file__) or os.curdir)
try:
ampl = AMPL()
if argc > 1:
ampl.setOption('solver', argv[1])
# Read the model file
modelDirectory = argv[2] if argc == 3 else os.path.join('..', 'models')
ampl.read(os.path.join(modelDirectory, 'diet/diet.mod'))
foods = ['BEEF', 'CHK', 'FISH', 'HAM', 'MCH', 'MTL', 'SPG', 'TUR']
costs = [3.59, 2.59, 2.29, 2.89, 1.89, 1.99, 1.99, 2.49]
fmin = [2, 2, 2, 2, 2, 2, 2, 2]
fmax = [10, 10, 10, 10, 10, 10, 10, 10]
df = DataFrame('FOOD')
df.setColumn('FOOD', foods)
df.addColumn('cost', costs)
df.addColumn('f_min', fmin)
df.addColumn('f_max', fmax)
ampl.setData(df, 'FOOD')
nutrients = ['A', 'C', 'B1', 'B2', 'NA', 'CAL']
nmin = [700, 700, 700, 700, 0, 16000]
nmax = [20000, 20000, 20000, 20000, 50000, 24000]
df = DataFrame('NUTR')
df.setColumn('NUTR', nutrients)
df.addColumn('n_min', nmin)
df.addColumn('n_max', nmax)
ampl.setData(df, 'NUTR')
amounts = [
[ 60, 8, 8, 40, 15, 70, 25, 60],
[ 20, 0, 10, 40, 35, 30, 50, 20],
[ 10, 20, 15, 35, 15, 15, 25, 15],
[ 15, 20, 10, 10, 15, 15, 15, 10],
[928, 2180, 945, 278, 1182, 896, 1329, 1397],
[295, 770, 440, 430, 315, 400, 379, 450]
]
df = DataFrame(('NUTR', 'FOOD'), 'amt')
df.setValues({
(nutrient, food): amounts[i][j]
for i, nutrient in enumerate(nutrients)
for j, food in enumerate(foods)
})
ampl.setData(df)
ampl.solve()
print('Objective: {}'.format(ampl.getObjective('total_cost').value()))
except Exception as e:
print(e)
raise
if __name__ == '__main__':
main(len(sys.argv), sys.argv)
|
[
"fdabrandao@gmail.com"
] |
fdabrandao@gmail.com
|
b5d4935ccb2e390451e2a6cdf3d02b0c3c62fed1
|
771d3c54b5f18c87f9f8f5f03992a639c40b2391
|
/Prediction/multiple_linear_regression.py
|
b030b6a982f10926d5d7cced28cf718ca1aaf946
|
[] |
no_license
|
simayhosmeyve/Machine_Learning
|
87039ee3f118014cb9a58e302350721a458aed9c
|
15d4199d888b703141b1249afc026d9ee6fbb27b
|
refs/heads/main
| 2023-06-29T01:18:07.225083
| 2021-07-30T12:43:14
| 2021-07-30T12:43:14
| 384,386,396
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,592
|
py
|
#tahminimiz birden fazla parametreye bağlı olduğunda
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
datas = pd.read_csv('values.csv')
#print(datas)
age = datas.iloc[:,1:4].values
#print(age)
#encoding
country = datas.iloc[:,0:1].values
print(country)
from sklearn import preprocessing
le = preprocessing.LabelEncoder()
country[:,0] = le.fit_transform(datas.iloc[:,0])
print(country)
ohe = preprocessing.OneHotEncoder(categories='auto')
country = ohe.fit_transform(country).toarray()
print(country)
c = datas.iloc[:,-1:].values
print(c)
from sklearn import preprocessing
le = preprocessing.LabelEncoder()
c[:,-1] = le.fit_transform(datas.iloc[:,-1])
print(c)
#numpy dizileri dataframe donusumu
df = pd.DataFrame(data=country, index = range(22), columns = ['fr','tr','us'])
print(df)
df2 = pd.DataFrame(data=age, index = range(22), columns = ['boy','kilo','yas'])
print(df2)
cinsiyet = datas.iloc[:,-1].values
print(cinsiyet)
df3 = pd.DataFrame(data = c[:,:1], index = range(22), columns = ['cinsiyet'])
print(df3)
#dataframe birlestirme islemi
s=pd.concat([df,df2], axis=1)
print(s)
s2=pd.concat([s,df3], axis=1)
print(s2)
#egitim ve test
from sklearn.model_selection import train_test_split
x_train, x_test,y_train,y_test = train_test_split(s,df3,test_size=0.33, random_state=0)
from sklearn.linear_model import LinearRegression
regressor = LinearRegression()
regressor.fit(x_train,y_train)
y_pred = regressor.predict(x_test)
#boy değerleri tablodan alınıyor
boy = s2.iloc[:,3:4].values
print(boy)
#eğitmek için boy kolununun solundaki ve sağındaki değerleri alıyoruz
sol = s2.iloc[:,:3]
sag = s2.iloc[:,4:]
veri = pd.concat([sol,sag],axis=1)
x_train, x_test,y_train,y_test = train_test_split(veri,boy,test_size=0.33, random_state=0)
r2 = LinearRegression()
r2.fit(x_train,y_train)
y_pred = r2.predict(x_test)
#Backward Elimination
import statsmodels.api as sm
#Verileri eleyerek daha iyi bir tahmine ulaşmaya çalışıyoruz
#En yüksek p value alan değişken elenir
#array oluşturuyoruz
X = np.append(arr = np.ones((22,1)).astype(int), values = veri , axis = 1)
X_l = veri.iloc[:,[0,1,2,3,4,5]].values
X_l = np.array(X_l,dtype=float)
#OLS raporu çıkartılıyor
r_ols = sm.OLS(endog=boy,exog=X_l)
r = r_ols.fit()
print(r.summary())
#p value yüksek olduğu için 4'ü çıkarıyoruz
X_l = veri.iloc[:,[0,1,2,3,5]].values
X_l = np.array(X_l,dtype=float)
r_ols = sm.OLS(endog=boy,exog=X_l)
r = r_ols.fit()
print(r.summary())
|
[
"noreply@github.com"
] |
simayhosmeyve.noreply@github.com
|
2d14551e314dc6fae1cd93c261da3bce2b6a090a
|
765e850116564d47d7ac3afa38ac2c56ccd1ce29
|
/ScMiles/log.py
|
5989bef6307a5f3e618b10a73ef1894f03500ed5
|
[] |
no_license
|
UTmilestoning/ScMiles2.0
|
87c7ff9f874aa81392e551c885872be1d1818c48
|
edd23d864834a0e773207b80367a1b68f31cc2c0
|
refs/heads/master
| 2023-06-14T11:41:52.204370
| 2020-09-21T15:45:27
| 2020-09-21T15:45:27
| 315,404,147
| 2
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 573
|
py
|
# -*- coding: utf-8 -*-
"""
Created on Sun Sep 16 15:49:08 2018
@author: Wei Wei
This subroutine writes running informations to log file.
"""
__all__ = ['log']
def log(msg):
import os
from datetime import datetime
filePath = os.path.dirname(os.path.abspath(__file__))
outfolder = os.path.abspath(os.path.join(filePath, os.pardir)) + '/my_project_output/current'
with open(outfolder+'/log', 'a+') as f1:
loginfo = str(datetime.now()).split('.')[0] + " " + msg
print(loginfo, file=f1)
if __name__ == '__main__':
log('test')
|
[
"noreply@github.com"
] |
UTmilestoning.noreply@github.com
|
430652a45790d6c43467152d40c8acc63a0b0613
|
cb901633a8cf535098893bcf9cd6daf16e0c7de8
|
/mlfinlab/tests/test_functional_correlation_driven_nonparametric_learning_k.py
|
92b4115e9d7cd3a54794a849754720bacdba3166
|
[] |
no_license
|
webclinic017/pandas-polygon
|
997de5d4f4c9423f158bda82a1cfae8e5b110e93
|
1caa0266f830181e632568332ee4c3ccb1878114
|
refs/heads/master
| 2023-08-25T01:34:51.770044
| 2021-02-07T05:55:58
| 2021-02-07T05:55:58
| 298,890,629
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 4,105
|
py
|
# Copyright 2019, Hudson and Thames Quantitative Research
# All rights reserved
# Read more: https://github.com/hudson-and-thames/mlfinlab/blob/master/LICENSE.txt
"""
Tests Functional Correlation Driven Nonparametric Learning - K.
"""
from unittest import TestCase
import os
import numpy as np
import pandas as pd
from mlfinlab.online_portfolio_selection.fcornk \
import FCORNK
class TestFunctionalCorrelationDrivenNonparametricLearningK(TestCase):
# pylint: disable=unsubscriptable-object
"""
Tests different functions of the Functional Correlation Driven Nonparametric Learning - K class.
"""
def setUp(self):
"""
Sets the file path for the tick data csv.
"""
# Set project path to current directory.
project_path = os.path.dirname(__file__)
# Add new data path to match stock_prices.csv data.
data_path = project_path + '/test_data/stock_prices.csv'
# Read csv, parse dates, and drop NaN.
self.data = pd.read_csv(data_path, parse_dates=True, index_col="Date").dropna(axis=1)
def test_fcorn_k_solution(self):
"""
Test the calculation of FCORN-K.
"""
# Initialize FCORN-K.
fcorn_k = FCORNK(window=1, rho=1, lambd=1, k=1)
# Allocates asset prices to FCORN-K.
fcorn_k.allocate(self.data, resample_by='3M')
# Create np.array of all_weights.
all_weights = np.array(fcorn_k.all_weights)
# Check if all weights sum to 1.
for i in range(all_weights.shape[0]):
weights = all_weights[i]
assert (weights >= 0).all()
assert len(weights) == self.data.shape[1]
np.testing.assert_almost_equal(np.sum(weights), 1)
def test_fcorn_k_window_error(self):
"""
Tests ValueError if window is not an integer or less than 1.
"""
# Initialize FCORN-K.
fcorn_k1 = FCORNK(window=2.5, rho=2, lambd=1, k=1)
with self.assertRaises(ValueError):
# Running allocate will raise ValueError.
fcorn_k1.allocate(self.data)
# Initialize FCORN-K.
fcorn_k2 = FCORNK(window=0, rho=2, lambd=1, k=1)
with self.assertRaises(ValueError):
# Running allocate will raise ValueError.
fcorn_k2.allocate(self.data)
def test_fcorn_k_rho_error(self):
"""
Tests ValueError if rho is not an integer or less than 1.
"""
# Initialize FCORN-K.
fcorn_k3 = FCORNK(window=2, rho=2.5, lambd=1, k=1)
with self.assertRaises(ValueError):
# Running allocate will raise ValueError.
fcorn_k3.allocate(self.data)
# Initialize FCORN-K.
fcorn_k4 = FCORNK(window=2, rho=0, lambd=1, k=1)
with self.assertRaises(ValueError):
# Running allocate will raise ValueError.
fcorn_k4.allocate(self.data)
def test_fcorn_k_lambd_error(self):
"""
Tests ValueError if lambd is not an integer or less than 1.
"""
# Initialize FCORN-K.
fcorn_k5 = FCORNK(window=2, rho=2, lambd=1.5, k=1)
with self.assertRaises(ValueError):
# Running allocate will raise ValueError.
fcorn_k5.allocate(self.data)
# Initialize FCORN-K.
fcorn_k6 = FCORNK(window=2, rho=2, lambd=0, k=1)
with self.assertRaises(ValueError):
# Running allocate will raise ValueError.
fcorn_k6.allocate(self.data)
def test_fcorn_k_k_error(self):
"""
Tests ValueError if k is not an integer of greater than window * rho * lambd
"""
# Initialize FCORN-K.
fcorn_k7 = FCORNK(window=2, rho=2, lambd=2, k=16)
with self.assertRaises(ValueError):
# Running allocate will raise ValueError.
fcorn_k7.allocate(self.data)
# Initialize FCORN-K.
fcorn_k8 = FCORNK(window=2, rho=2, lambd=2, k=1.2)
with self.assertRaises(ValueError):
# Running allocate will raise ValueError.
fcorn_k8.allocate(self.data)
|
[
"bob@instasize.com"
] |
bob@instasize.com
|
e6cdb794aa311080ffa4e7aa83cbc4f90ff8ac96
|
bf99b1b14e9ca1ad40645a7423f23ef32f4a62e6
|
/AtCoder/abc/141b.py
|
4460bbf6a3ef087667c285aeff68758cdaf4a860
|
[] |
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
| 550
|
py
|
import sys
from heapq import heappop, heappush
from operator import itemgetter
from collections import deque, defaultdict, Counter
from bisect import bisect_left, bisect_right
input = sys.stdin.readline
sys.setrecursionlimit(10 ** 7)
MOD = 10**9 + 7
INF = float('inf')
def sol():
S = input().rstrip()
for i, s in enumerate(S):
if i % 2 == 0:
if s == 'L':
print('No')
return
else:
if s == 'R':
print('No')
return
print('Yes')
sol()
|
[
"y.oksaku@stu.kanazawa-u.ac.jp"
] |
y.oksaku@stu.kanazawa-u.ac.jp
|
4bc43753732ed7e0fa52c7b70d1c3c86e150fcc8
|
a7bef1217d295a0461697073d88825ea37ce6151
|
/dtft.py
|
f6783787b018bf255c57ff9e68274b817c2bbd20
|
[] |
no_license
|
R151837/PRIYANKA
|
a5cdd2e798c6c02fa6706a37f97dd7dd57846956
|
4d3c2d5165a97594b237b3999ce2536322326c22
|
refs/heads/master
| 2020-04-27T06:50:25.547913
| 2019-03-06T10:11:51
| 2019-03-06T10:11:51
| 174,119,366
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 402
|
py
|
import numpy as np
import matplotlib.pyplot as plt
import cmath as cm
x=input('enter sequence=')
n=len(x)
j=cm.sqrt(-1)
w=np.linspace(0,2*np.pi,1000)
y=[]
for i in range(0,1000):
sum=0
for k in range(0,n):
sum=sum+x[k]*np.exp(-j*w[i]*k)
y=np.append(y,sum)
print y
plt.subplot(121)
plt.title("magnitude")
plt.plot(w,np.abs(y))
plt.subplot(122)
plt.title("phase")
plt.plot(w,np.angle(y))
plt.show()
|
[
"noreply@github.com"
] |
R151837.noreply@github.com
|
f004c169097cf2b61b4fc0c52f64922958d33f99
|
fcbc1f173579556bd75473d5be190c1229c0dfaa
|
/first10.py
|
46957cddeb38259e69eefdb283ea03a32d6f15ca
|
[] |
no_license
|
Hiten1502/codeQuotient-Automation
|
09424fb5c3eba17c89fea4787e8c167c415406c7
|
58199762ee776a86418af2cc5f4ff753dee19b93
|
refs/heads/main
| 2023-07-13T10:46:03.531186
| 2021-08-22T06:19:31
| 2021-08-22T06:19:31
| 398,727,244
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 81,962
|
py
|
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.action_chains import ActionChains
import time
import getpass
import pyautogui
import pyperclip
dollar = "$" * 99
# User Inputs
print('\n', dollar)
print('')
print('Coding is Just Like Copy And Paste')
print("Please check all the configurations before proceeding !!!")
print('\n')
print("Made For You By Hiten Singla And Sahil Vats")
print("Github Profile ----> https://github.com/Hiten1502")
print('\n', dollar)
username = input('Enter Your Email: ')
password = getpass.getpass(prompt='Enter Your Password:')
# Importing Chrome Driver
driver_path = "./chromedriver.exe"
chrome_options = Options()
driver = webdriver.Chrome(executable_path=driver_path, options=chrome_options)
# Where the Magic happens function
time.sleep(2)
driver.get("https://codequotient.com/login")
time.sleep(2)
driver.find_element_by_id("email").send_keys(username)
time.sleep(2)
driver.find_element_by_id("password").send_keys(password)
time.sleep(2)
driver.find_element_by_id("btnSubmit").click()
time.sleep(2)
############################################################
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b372a8af8379219939149f9")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b372db4f837921993914a10")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b3cdc4cf837921993916934")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.execute_script("arguments[0].click();",button[2])
time.sleep(2)
driver.execute_script("arguments[0].click();",button[3])
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b4c9d2d2a3f026b0f4f0e21")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.execute_script("arguments[0].click();",button[2])
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b3cde35f83792199391693e")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b4747a734eb16221f491227")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.execute_script("arguments[0].click();",button[2])
time.sleep(2)
driver.execute_script("arguments[0].click();",button[3])
time.sleep(2)
driver.execute_script("arguments[0].click();",button[4])
time.sleep(2)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5aa2a1665ead875d7faa97f7")#link
driver.find_element_by_id("txtOutput0").send_keys("11")
driver.find_element_by_id("txtOutput1").send_keys("6")
driver.find_element_by_id("txtOutput2").send_keys("30")
driver.find_element_by_id("txtOutput3").send_keys("1")
driver.find_element_by_id("txtOutput4").send_keys("7")
driver.find_element_by_id("txtOutput5").send_keys("5")
driver.find_element_by_id("txtOutput6").send_keys("2")
driver.find_element_by_id("txtOutput7").send_keys("18")
driver.find_element_by_id("txtOutput8").send_keys("3")
driver.find_element_by_id("txtOutput9").send_keys("4")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5aa2a2a15ead875d7faa9808")#link
driver.find_element_by_id("txtOutput0").send_keys("9.0")
driver.find_element_by_id("txtOutput1").send_keys("9.6")
driver.find_element_by_id("txtOutput2").send_keys("2.2")
driver.find_element_by_id("txtOutput3").send_keys("6.0")
driver.find_element_by_id("txtOutput4").send_keys("6.0")
driver.find_element_by_id("txtOutput5").send_keys("8.0")
driver.find_element_by_id("txtOutput6").send_keys("1.25")
driver.find_element_by_id("txtOutput7").send_keys("3.0")
driver.find_element_by_id("txtOutput8").send_keys("4.0")
driver.find_element_by_id("txtOutput9").send_keys("6.4")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5aa2a3645ead875d7faa9814")#link
driver.find_element_by_id("txtOutput0").send_keys("val1%10;")
driver.find_element_by_id("txtOutput1").send_keys("val1/10%10;")
driver.find_element_by_id("txtOutput2").send_keys("val1/100%10;")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5aa2a4275ead875d7faa9857")#link
driver.find_element_by_id("txtOutput0").send_keys("(15*count-11)")
driver.find_element_by_id("txtOutput1").send_keys("(-10*count+40)")
driver.find_element_by_id("txtOutput2").send_keys("(4*count-11)")
driver.find_element_by_id("txtOutput3").send_keys("(-3*count+100)")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5aa557b75ead875d7faab603")#link
driver.find_element_by_id("txtOutput0").send_keys("true")
driver.find_element_by_id("txtOutput1").send_keys("false")
driver.find_element_by_id("txtOutput2").send_keys("false")
driver.find_element_by_id("txtOutput3").send_keys("true")
driver.find_element_by_id("txtOutput4").send_keys("true")
driver.find_element_by_id("txtOutput5").send_keys("false")
driver.find_element_by_id("txtOutput6").send_keys("true")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b41bb0af83792199391808e")#link
driver.find_element_by_id("txtOutput0").send_keys("7")
driver.find_element_by_id("txtOutput1").send_keys("8")
driver.find_element_by_id("txtOutput2").send_keys("7")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a2e09056dc3de029e4889e6")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
# include<bits/stdc++.h>
using namespace std;
int main(){
int n;cin>>n;
if(n%2 == 0){
cout<<"Even"<<endl;
}
else{
cout<<"Odd"<<endl;
}
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a2e123c6dc3de029e488a24")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
# include<bits/stdc++.h>
using namespace std;
int main(){
int arr[3];
for (int i = 0; i < 3; i++)
{
cin>>arr[i];
}
cout<<(*max_element(arr,arr+3))<<endl;
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a2e0c006dc3de029e4889fb")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
# include<bits/stdc++.h>
using namespace std;
int main()
{
int n;
cin>>n;
if(n%4==0){
if(n%100==0 && n%400!=0){
cout<<"Not a Leap Year";
}
else{
cout<<"Leap Year";
}
}
else{
cout<<"Not a Leap Year";
}
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5d46dfdf695fda3b2cd0ac34")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
# include<bits/stdc++.h>
using namespace std;
int main(){
int arr[] = {2000, 500, 100, 50, 20, 10, 5, 2, 1};
int n;cin>>n;
int x = sizeof(arr)/sizeof(arr[0]);
for (int i = 0; i < x; i++)
{
int z = n/arr[i];
n = n - z*arr[i];
arr[i] = z;
}
for (int i = 0; i < x; i++)
{
cout<<arr[i]<<" ";
}
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a2e1fd86dc3de029e488a94")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
#include<iostream>
//#include<cstdio>
//#include<cmath>
using namespace std;
int main()
{
int n;
cin>>n;
int sum=0;
for(int i=1;i<=n;i++){
sum=sum+i;
}
cout<<sum;
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a2e30b56dc3de029e488ad4")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
#include <iostream>
using namespace std;
int main(){
int n;
cin>>n;
for (int i = 1; i <= n; i++){
for(int j=i;j>=1;j--){
cout<<j;
}
for(int j=2;j<=i;j++){
cout<<j;
}
cout<<endl;
}
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a2e33116dc3de029e488ad7")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
# include<bits/stdc++.h>
using namespace std;
int main(){
int n;
cin>>n;
int p =1;
for (int i = 1; i <= n; i++)
{
for (int j = 1; j <= i; j++)
{
cout<<p;
if(j != i){
cout<<" ";
}
p++;
}
cout<<endl;
}
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a2e35746dc3de029e488ade")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
# include<bits/stdc++.h>
using namespace std;
int main(){
int n;
cin>>n;
for (int i = 0; i < 1; i++)
{
for (int j = 1; j < n-i+1; j++)
{
cout<<j;
}
int p = n-i-1;
for (int j = 1; j < n; j++)
{
cout<<p;
p--;
}
cout<<endl;
}
for (int i = 0; i < n-1; i++)
{
for (int j = 0; j < n-i-1; j++)
{
cout<<j+1;
}
for (int j = 0; j < 2*i+1; j++)
{
cout<<"*";
}
int p = n - i-1;
for (int j = 0; j < (n-i-1); j++)
{
cout<<p;
p--;
}
cout<<endl;
}
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a2e20796dc3de029e488a9b")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
# include<bits/stdc++.h>
using namespace std;
int main(){
int n,m;
cin>>n>>m;
for (int i = 1; i <= m; i++)
{
cout<<(n*i)<<endl;
}
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
##########################################################3
#############################################33
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b419ab5f837921993917f93")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.execute_script("arguments[0].click();",button[2])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[3])
time.sleep(2)
driver.execute_script("arguments[0].click();",button[4])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[5])
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b38c52fc6a1d0259e728e74")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b4a01613714c2304e8557ea")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b41b68df83792199391806c")#link
driver.find_element_by_id("txtOutput0").send_keys("-2 + 4 = 7")
driver.find_element_by_id("txtOutput1").send_keys("4 + -2 = 3")
driver.find_element_by_id("txtOutput2").send_keys("2 + 11 = 5")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b41b6e7f837921993918071")#link
driver.find_element_by_id("txtOutput0").send_keys("12")
driver.find_element_by_id("txtOutput1").send_keys("2")
driver.find_element_by_id("txtOutput2").send_keys("16")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b41b7f9f837921993918077")#link
driver.find_element_by_id("txtOutput0").send_keys("1342213422")
driver.find_element_by_id("txtOutput1").send_keys("""quotient and coding like code
code and quotient like coding
""")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b41b8c5f83792199391807e")#link
driver.find_element_by_id("txtOutput0").send_keys("""
cq3: x = 23, y = 7
cq2: x = 12, y = 1, z = 7
cq1: x = 7, y = 11, z = 12
""")
driver.find_element_by_id("txtOutput1").send_keys("""
cq3: x = 44, y = 11
cq2: x = 23, y = 1, z = 11
cq1: x = 11, y = 21, z = 23
""")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a4e652dd2b99733e5c16900")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
int sumOfRange(int min, int max){
int sum(0);
for (int i = min; i <= max; i++)
{
sum += i;
}
return sum;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a093c7917bcb854c302bd23")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/*
* Complete the function 'verifyPrime'
* @params
* n ->number which is to be checked from primality test
*
* @return
* true if the number is a prime number else false
*/
bool verifyPrime(int n){
// Write your code her
if(n == 0 || n == 1){
return false;
}
for (int i = 2; i < n; i++)
{
if(n%i == 0){
return false;
}
}
return true;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a11753954305147defdced0")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/*
* Complete the function 'primeFactors'
* Print all the prime factors of the number
* @params
* n -> numbers whose prime factors are to be found
*/
void primeFactors(int n){
// Write your code here
while (n%2 == 0)
{
printf("%d", 2);
cout<<endl;
n = n/2;
}
for (int i = 3; i <= sqrt(n); i = i+2)
{
while (n%i == 0)
{
printf("%d", i);
cout<<endl;
n = n/i;
}
}
if (n > 2)
printf ("%d", n);
cout<<endl;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a1056fb54305147defdcec2")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/*
* Complete the function 'gcd'
* @params
* i -> first integer
* j -> second integer
*
* @returns
* an integer, denoting the gcd of i and j
*/
int gcd(int i, int j){
if(j == 0){
return i;
}
return gcd(j,i%j);
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a4e7676d2b99733e5c16921")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
int binaryToDecimal(string binary){
string num=binary;
int sum=0;
int base=1;
for (int i=num.length()-1;i>=0;i--){
if (num[i]=='1'){
sum+=base;
}
base=base*2;
}
return sum;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b41bb0af83792199391808e")#link
driver.find_element_by_id("txtOutput0").send_keys("7")
driver.find_element_by_id("txtOutput1").send_keys("8")
driver.find_element_by_id("txtOutput2").send_keys("7")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b41ba29f837921993918087")#link
driver.find_element_by_id("txtOutput0").send_keys("m1-ii")
driver.find_element_by_id("txtOutput1").send_keys("Error")
driver.find_element_by_id("txtOutput2").send_keys("m1-if")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b4a03903714c2304e8557f4")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
// write the overloaded sum() functions for 2, 3 and 4 arguments
int sum(int a,int b){
return a+b;
}
int sum(int a,int b,int c){
return a+b+c;
}
int sum(int a,int b,int c,int d){
return a+b+c+d;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b4a06483714c2304e8557fc")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
// Write overloaded display(string a) and display(string a, string b) functions
void display(string a){
cout<<a;
}
void display(string a,string b){
cout<<a<<"-";
cout<<b;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
#######################################################33333333333
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a006a24e63d6b7fd5dec29b")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.execute_script("arguments[0].click();",button[2])
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a006b92e63d6b7fd5dec2bb")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a006a7de63d6b7fd5dec2a6")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a006ac5e63d6b7fd5dec2ae")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b419e91f837921993917fb1")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[2])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[3])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[4])
time.sleep(2);
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b3908e9c6a1d0259e728f8f")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2);
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a411e7f1fa97021c32ce070")#link
driver.find_element_by_id("txtOutput0").send_keys("70 25")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a411ec71fa97021c32ce073")#link
driver.find_element_by_id("chkOpt4").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a411f161fa97021c32ce074")#link
driver.find_element_by_id("txtOutput0").send_keys("31")
driver.find_element_by_id("txtOutput1").send_keys("1004")
driver.find_element_by_id("txtOutput2").send_keys("1004")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a411f731fa97021c32ce079")#link
driver.find_element_by_id("chkOpt1").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a2bcdae6dc3de029e4887c8")#link
driver.find_element_by_id("chkOpt4").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b4ad952f5c97d305544b0d7")#link
driver.find_element_by_id("txtOutput0").send_keys("68")
driver.find_element_by_id("txtOutput1").send_keys("88")
driver.find_element_by_id("txtOutput2").send_keys("76")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b44c4dce25fb6141524a0ef")#link
driver.find_element_by_id("txtOutput1").send_keys("True")
driver.find_element_by_id("txtOutput0").send_keys("True")
driver.find_element_by_id("txtOutput2").send_keys("True")
driver.find_element_by_id("txtOutput3").send_keys("False")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b44c555e25fb6141524a0f5")#link
driver.find_element_by_id("txtOutput0").send_keys("No")
driver.find_element_by_id("txtOutput1").send_keys("Yes")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b44c69de25fb6141524a0f9")#link
driver.find_element_by_id("txtOutput0").send_keys("True")
driver.find_element_by_id("txtOutput1").send_keys("True")
driver.find_element_by_id("txtOutput2").send_keys("False")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b4ada9ef5c97d305544b0dc")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b4adc14f5c97d305544b0dd")#link
driver.find_element_by_id("txtOutput0").send_keys("0")
driver.find_element_by_id("txtOutput1").send_keys("2")
driver.find_element_by_id("txtOutput2").send_keys("2")
driver.find_element_by_id("txtOutput3").send_keys("1")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b4adcddf5c97d305544b0e3")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5ca2e6c893d7f626b4060811")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
vector<int> cutSticks(vector<int> lengths) {
sort(lengths.begin() , lengths.end());
int shortest = INT_MIN;
vector<int> ans;
for(int i=0;i<lengths.size();i++){
if(lengths[i] > shortest){
ans.push_back(lengths.size() -i);
shortest = lengths[i];
}
}
return ans;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
#########################################################3
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b38c12dc6a1d0259e728e56")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b38c21fc6a1d0259e728e63")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b38c902c6a1d0259e728e9b")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.execute_script("arguments[0].click();",button[2])
time.sleep(2)
driver.execute_script("arguments[0].click();",button[3])
time.sleep(2)
driver.execute_script("arguments[0].click();",button[4])
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5b38c9aac6a1d0259e728ea9")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b18b68d7becc0459de9bf72")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b41e78a378b141faaf16c23")#link
driver.find_element_by_id("chkOpt4").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b41e856378b141faaf16c5c")#link
driver.find_element_by_id("txtOutput0").send_keys("No")
driver.find_element_by_id("txtOutput1").send_keys("No")
driver.find_element_by_id("txtOutput2").send_keys("Yes")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b41e8fa378b141faaf16c6c")#link
driver.find_element_by_id("txtOutput0").send_keys("No")
driver.find_element_by_id("txtOutput1").send_keys("Yes")
driver.find_element_by_id("txtOutput2").send_keys("No")
driver.find_element_by_id("txtOutput3").send_keys("No")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b41ea32378b141faaf16c7b")#link
driver.find_element_by_id("txtOutput0").send_keys("No")
driver.find_element_by_id("txtOutput1").send_keys("No")
driver.find_element_by_id("txtOutput2").send_keys("Yes")
driver.find_element_by_id("txtOutput3").send_keys("No")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b41ea7f378b141faaf16c81")#link
driver.find_element_by_id("txtOutput0").send_keys("No")
driver.find_element_by_id("txtOutput1").send_keys("No")
driver.find_element_by_id("txtOutput2").send_keys("Yes")
driver.find_element_by_id("txtOutput3").send_keys("No")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b4ae0d2f5c97d305544b0ec")#link
driver.find_element_by_id("txtOutput0").send_keys("Modular")
driver.find_element_by_id("txtOutput1").send_keys("Monolithic")
driver.find_element_by_id("txtOutput2").send_keys("Object-Oriented")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5aba57adecf32f0f52165aa5")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
class TimeSpan
{
private: int hours;
private: int minutes;
public: TimeSpan(int initialHours, int initialMin){
hours = 0;
minutes = 0;
add(initialHours, initialMin);
}
public: int getHours(){
return hours;
}
public: int getMinutes(){
return minutes;
}
public: void add(int initialHours, int initialMin){
hours += initialHours;
minutes += initialMin;
if(minutes >= 60){
minutes -= 60;
hours++;
}
}
public: void add(TimeSpan tp){
add(tp.hours, tp.minutes);
}
public: double getTotalHours(){
return hours + minutes / 60.0;
}
public: std::string toString(){
std::string str{std::to_string(hours)+" Hours, "+std::to_string(minutes)+" Minutes"};
return str;
}
};
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5aba5b3becf32f0f52165adb")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
class Date
{
// Write your code here
private:
int month,day;
public:
Date(int m,int d){
month=m;
day=d;
}
int daysInMonth(){
if(month==4|| month==6 || month==9 || month==11){
return 30;
}else if(month==2){
return 28;
}
else{
return 31;
}
}
int getDay(){
return day;
}
int getMonth(){
return month;
}
void nextDay(){
day++;
if(day>=daysInMonth()){
month++;
day=1;
if(month>12){
month=1;
}
}
}
string toString(){
string result="";
result+=to_string(month);
result+="/";
result+=to_string(day);
return result;
}
int absoluteDay(){
int days;
days=day;
switch(getMonth()){
case 2:
days+=31;
break;
case 3:
days+=31+28;
break;
case 4:
days+=31+28+31;
break;
case 5:
days+=31+28+31+30;
break;
case 6:
days+=31+28+31+30+31;
break;
case 7:
days+=31+28+31+30+31+30;
break;
case 8:
days+=31+28+31+30+31+30+31;
break;
case 9:
days+=31+28+31+30+31+30+31+31;
break;
case 10:
days+=31+28+31+30+31+30+31+31+30;
break;
case 11:
days+=31+28+31+30+31+30+31+31+31;
break;
case 12:
days+=31+28+31+30+31+30+31+31+31+30+30;
break;
}
return days;
}
};
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5b4cad9d2a3f026b0f4f0fc9")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
int cnt=0; // manipluate this variable in your code
class Counter
{
public:
Counter(){
cnt++;
//cout<<"c1 id "<<cnt<<endl;
}
~Counter(){
cnt--;
//cout<<"c2 id "<<cnt<<endl;
}
};
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
#######################################333
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/60db0fb0a85d46f848f4c912");
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/60db1774a85d46f848f4c915");
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a4a420eb1afa55f38fed780");
time.sleep(2)
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.execute_script("arguments[0].click();",button[2])
time.sleep(2)
###########################Array Module####################33
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/59fde2a0e63d6b7fd5dec004")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/59fde6f5e63d6b7fd5dec01e")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
# driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a12edf146765b2b63e3476b")
# button = driver.find_elements_by_xpath("//a[text()='run']")
# driver.execute_script("arguments[0].click();",button[0])
# time.sleep(2);
# driver.execute_script("arguments[0].click();",button[1])
# time.sleep(2);
# MCQ1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a42313b1fa97021c32ce0a3")#link
time.sleep(2)
driver.find_element_by_id("txtOutput0").send_keys("1 2 3 4 5")
driver.find_element_by_id("txtOutput1").send_keys("5 4 3 2 1")
driver.find_element_by_id("txtOutput2").send_keys("5 -15 -58 -35 25")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ2
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a42313b1fa97021c32ce0a3")#link
driver.find_element_by_id("txtOutput0").send_keys("1 2 3 4 5")
driver.find_element_by_id("txtOutput1").send_keys("5 4 3 2 1")
driver.find_element_by_id("txtOutput2").send_keys("5 -15 -58 -35 25")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ2
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a4231711fa97021c32ce0a8")#link
driver.find_element_by_id("txtOutput0").send_keys("1 -1 -4 -8 -13")
driver.find_element_by_id("txtOutput1").send_keys("5 1 -2 -4 -5")
driver.find_element_by_id("txtOutput2").send_keys("5 -60 -105 -107 -132")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a4231aa1fa97021c32ce0ad")#link
driver.find_element_by_id("txtOutput0").send_keys("2 1 4 3 6")
driver.find_element_by_id("txtOutput1").send_keys("6 3 4 1 2")
driver.find_element_by_id("txtOutput2").send_keys("6 64 46 1 26 ")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a4231ef1fa97021c32ce0b2")#link
driver.find_element_by_id("txtOutput0").send_keys("1 2 3 4 5")
driver.find_element_by_id("txtOutput1").send_keys("5 4 3 2 1")
driver.find_element_by_id("txtOutput2").send_keys("5 25 27 2 25")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a42359e1fa97021c32ce0c2")#link
driver.find_element_by_id("chkOpt3").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a487f12b1afa55f38fed739")#link
driver.find_element_by_id("chkOpt1").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a487f45b1afa55f38fed73a")#link
driver.find_element_by_id("chkOpt1").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a487fabb1afa55f38fed73b")#link
driver.find_element_by_id("chkOpt1").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/59ff2beae63d6b7fd5dec1af")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
#include<iostream>
#include<cstdio>
#include<cmath>
# include<bits/stdc++.h>
// Include headers as needed
using namespace std;
int main()
{
int n = 5;
int arr [n];
for(int i=0;i<n;i++){
cin>>arr[i];
}
int max1 = INT_MIN , max2 = INT_MIN;
for(int i=0;i<n;i++){
if(arr[i]>max1){
max1 = arr[i];
}
}
for(int j=0;j<n;j++){
if(arr[j]>max2 && arr[j]<max1){
max2 = max(max2 , arr[j]);
}
}
if(max2 == INT_MIN){
cout<<0<<endl;
}
else{
cout<<max2;
}
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c2
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a4fb5ee7a3c1824dba91428")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
#include<iostream>
#include<cstdio>
#include<cmath>
using namespace std;
int main()
{
int T;
cin>>T;
for (int i = 0; i < T; i++)
{
int mf = 0;
int max_count = 0;
int n;
cin>>n;
int a[n];
for (int i = 0; i < n; i++)
{
cin>>a[i];
}
for (int i = 0; i < n; i++)
{
int count = 0;
for (int j = i+1; j < n; j++)
{
if(a[i] == a[j]){
count++;
}
if(count >= max_count){
max_count = count;
mf = a[i];
}
}
}
cout<<mf<<endl;
}
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a2e543e6dc3de029e488b37")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
# include<bits/stdc++.h>
using namespace std;
int main(){
int arr[10];
for (int i = 0; i < 10; i++)
{
cin>>arr[i];
}
int neg(0),pos(0),even(0),odd(0);
for (int i = 0; i < 10; i++)
{
if(arr[i]>=0){
pos++;
}
if(arr[i]<0){
neg++;
}
if(arr[i]%2 == 0){
even++;
}
else{
odd++;
}
}
cout<<pos<<endl;
cout<<neg<<endl;
cout<<even<<endl;
cout<<odd<<endl;
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c4
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5d9f41ae5f73f530a20bd5d6")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
int arraysEqualorNot(vector<int> A, vector<int> B) {
sort(A.begin(),A.end());
sort(B.begin(),B.end());
for (int i = 0; i < A.size(); i++)
{
if(A[i] != B[i]){
return 0;
}
}
return 1;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a4fafbb7a3c1824dba9141c")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
void moveElements(int arr[], int n){
int key,j;
for (int i = 0; i < n; i++)
{
key = arr[i];
j = i-1;
while (j>=0 && arr[j]<0 && key>=0)
{
arr[j+1] = arr[j];
j--;
}
arr[j+1] = key;
}
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
###########################3333
#############################7th mod#########################
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a12ef3746765b2b63e3477e")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a487fdfb1afa55f38fed73c")#link
driver.find_element_by_id("chkOpt1").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a48801bb1afa55f38fed73d")#link
driver.find_element_by_id("txtOutput0").send_keys("9")
driver.find_element_by_id("txtOutput1").send_keys("29")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a488049b1afa55f38fed741")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a488065b1afa55f38fed742")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a4fc0117a3c1824dba91440")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
int getPairsCount(int arr[], int n, int sum){
// Write your code here
int s=0;
int l=n-1;
int count=0;
while(s<l){
if(arr[s]+arr[l]<sum) s++;
else if(arr[s]+arr[l]==sum){
int p=l;
while(arr[l]==arr[p] && p>s){
count++;
p=p-1;
}
s++;
}
else{
l--;
}
}
return count;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c2
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a50df747a3c1824dba915dc")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
# include<bits/stdc++.h>
using namespace std;
int find(int arr[],int n,int k){
for (int i = 0; i < n; i++)
{
if(arr[i] == k){
return i;
break;
}
}
return -1;
}
int main(){
int t;cin>>t;
while (t--)
{
int n,k;
cin>>n>>k;
int arr[n];
for (int i = 0; i < n; i++)
{
cin>>arr[i];
}
cout<<find(arr,n,k)<<endl;
}
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5d81f1f6e9156a66a25b7709")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
int rotationCount(int a[], int size){
int mn = *min_element(a,a+size);
for (int i = 0; i < size; i++)
{
if(a[i] == mn){
return i;
}
}
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c4
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a539b04f239e2076be893e8")#link
t = driver.find_element_by_class_name("CodeMirror-code")
t.click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
void sort(int arr[],int n){
for (int i = 0; i < n; ++i)
{
for (int j = i + 1; j < n; ++j)
{
if (arr[i] > arr[j])
{
int temp = arr[i];
arr[i] = arr[j];
arr[j] = temp;
}
}
}
}
int getMissingElement(int* a,int a_size,int* b ,int b_size){
sort(a,a_size);
sort(b,b_size);
for (int i = 0; i < b_size; i++)
{
if(a[i] != b[i]){
return a[i];
}
}
return a[a_size-1];
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
#########################33
###############################################333333
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a59dbc1a4af025f554a0bb2")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a59dc57a4af025f554a0bbd")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a59de12a4af025f554a0bcb")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[2])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[3])
time.sleep(2);
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a59dcb5a4af025f554a0bc1")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a59df31a4af025f554a0be8")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f280f89496f09677d64e9")#link
driver.find_element_by_id("chkOpt3").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f287289496f09677d64f2")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f291189496f09677d64fd")#link
driver.find_element_by_id("chkOpt1").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f298989496f09677d6527")#link
driver.find_element_by_id("chkOpt4").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f29d789496f09677d652e")#link
driver.find_element_by_id("txtOutput0").send_keys("True")
driver.find_element_by_id("txtOutput1").send_keys("False")
driver.find_element_by_id("txtOutput2").send_keys("True")
driver.find_element_by_id("txtOutput3").send_keys("False")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f2ba289496f09677d6563")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f2be889496f09677d656d")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f515c89496f09677d6947")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
struct Node* next;
};
Above structure is used to define the linked list, You have to complete the below functions only */
void forwardPrint(struct Node* head)
{
if(head != NULL){
cout<<head->data<<"-";
forwardPrint(head->next);
}
}
void backwardPrint(struct Node* head)
{
if(head != NULL){
backwardPrint(head->next);
cout<<head->data<<"-";
}
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c2
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a70766389496f09677d7734")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/*
struct Node
{
int data;
struct Node* next;
};
Above structure is used to define the linked list, You have to complete the below functions only */
struct Node *copyList(struct Node *org)
{
Node *ptr = NULL;
while (org != NULL)
{
insertEnd(&ptr , org->data);
org = org->next;
}
return ptr;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f2ccb89496f09677d6585")#link
driver.find_element_by_id("chkOpt3").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a707dd489496f09677d78ad")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
struct Node* next;
};
Above structure is used to define the linked list, You have to complete the below functions only */
# include<bits/stdc++.h>
int minNode(Node *head){
Node *last = head;
int min = INT_MAX;
while (last != NULL)
{
if(last->data < min){
min = last->data;
}
last = last->next;
}
return min;
}
int maxNode(Node *head){
Node *last = head;
int max = INT_MIN;
while (last != NULL)
{
if(last->data > max){
max = last->data;
}
last = last->next;
}
return max;
}
void insertBeg(struct Node** head, int data){
struct Node* node = (struct Node*) malloc(sizeof(struct Node));
node->data = data;
node->next = (*head);
(*head) = node;
}
struct Node * shiftSmallLarge(struct Node *org)
{
int x = minNode(org);
int y = maxNode(org);
if(org == NULL){
return org;
}
Node *ptr = NULL;
if(org->next == NULL){
insertBeg(&ptr , x);
return ptr;
}
Node *last = org;
while (last != NULL)
{
if(last->data == x){
last = last->next;
}
else if(last->data == y){
last = last->next;
}
else{
insertEnd(&ptr , last->data);
last = last->next;
}
}
insertBeg(&ptr , x);
insertEnd(&ptr , y);
return ptr;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c2
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a71b21d89496f09677d87e7")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
struct Node* next;
};
Above structure is used to define the linked list, You have to complete the below functions only */
# include<bits/stdc++.h>
int checkPalindrome(struct Node* head)
{
if(head == NULL){
return 0;
}
Node *ptr = head;
stack<int> s;
while (ptr != NULL)
{
s.push(ptr->data);
ptr = ptr->next;
}
while (head != NULL)
{
int i = s.top();
s.pop();
if(head->data != i){
return 0;
}
head = head->next;
}
return 1;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a71aeac89496f09677d8758")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
Node* next;
};
Above structure is used to define the linked list, You have to complete the below functions only */
int countNodes(struct Node *n)
{
int res = 1;
struct Node *temp = n;
while (temp->next != n)
{
res++;
temp = temp->next;
}
return res;
}
int loopInList(Node* head) {
struct Node *slow_p = head, *fast_p = head;
while (slow_p && fast_p &&
fast_p->next)
{
slow_p = slow_p->next;
fast_p = fast_p->next->next;
if (slow_p == fast_p)
return countNodes(slow_p);
}
return 0;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c4
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a71abef89496f09677d871c")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
struct Node* next;
};
Above structure is used to define the linked list, You have to complete the below functions only */
Node *ptr = NULL;
void giveReverse(Node *head){
ptr = NULL;
if(head != NULL){
giveReverse(head->next);
insertEnd(&ptr,head->data);
}
}
struct Node* reverseList(struct Node* head) {
giveReverse(head);
return ptr;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f2ea689496f09677d65b4")#link
driver.find_element_by_id("txtOutput0").send_keys("1 3 5 5 3 1")
driver.find_element_by_id("txtOutput1").send_keys("1 2 3 3 2 1")
driver.find_element_by_id("txtOutput2").send_keys("1 1 2 2 1 1")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f2fdd89496f09677d65e0")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f309a89496f09677d65f9")#link
driver.find_element_by_id("txtOutput0").send_keys("2 1 4 3 6 5")
driver.find_element_by_id("txtOutput1").send_keys("1 1 2 2 3 3")
driver.find_element_by_id("txtOutput2").send_keys("1 1 2 1 2 2")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f317b89496f09677d6626")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a71b40f89496f09677d880a")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
// struct Node
// {
// int data;
// Node* next;
// };
// Above node is used to declare a node
Node* addListNumbers(Node* head1,Node* head2){
int x = 0;
int i = 0;
while (head1 != NULL)
{
int m = head1->data;
x = m*pow(10,i) + x;
i++;
head1 = head1->next;
}
int y = 0;
int j = 0;
while (head2 != NULL)
{
int m = head2->data;
y = m*pow(10,j) + y;
j++;
head2 = head2->next;
}
int sum = x+y;
Node *ptr = NULL;
while (sum > 0 )
{
int x = sum%10;
insertEnd(&ptr ,x);
sum = sum/10;
}
return ptr;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c2
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a71b84689496f09677d8879")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
void deleteNodeK(Node* node){
if(node == NULL){
return;
}
if (node->next == NULL)
{
//free(node);
return;
}
Node* temp = node->next;
node->data = temp->data;
node->next = temp->next;
free(temp);
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
#########################################333
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a6342b4e2509a3288171d66")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a634522e2509a3288171d76")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a634448e2509a3288171d72")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a6345c6e2509a3288171d7c")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f336f89496f09677d6669")#link
driver.find_element_by_id("chkOpt4").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f496589496f09677d6863")#link
driver.find_element_by_id("txtOutput0").send_keys("5 4 3 2 1")
driver.find_element_by_id("txtOutput1").send_keys("3 3 2 2 1 1")
driver.find_element_by_id("txtOutput2").send_keys("6 5 2 3 4")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f49d489496f09677d686d")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f4ac489496f09677d688c")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f4b5389496f09677d68a0")#link
driver.find_element_by_id("chkOpt3").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f4cc589496f09677d68c6")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f4d4489496f09677d68ca")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f4dca89496f09677d68d4")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a71b9a389496f09677d88a7")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
struct Node *next;
struct Node *prev;
};
Above structure is used to define the linked list, You have to complete the below functions only */
void swapNodes(Node** head, int x, int y){
if(x == y){
return;
}
Node *prevX = NULL , *currX = *head;
while (currX && currX->data != x)
{
prevX = currX;
currX = currX->next;
}
Node *prevY = NULL , *currY = *head;
while (currY && currY->data != y)
{
prevY = currY;
currY = currY->next;
}
if(currX == NULL || currY == NULL){
return;
}
if(prevX != NULL){
prevX->next = currY;
}
else{
*head = currY;
}
if(prevY != NULL){
prevY->next = currX;
}
else{
*head = currX;
}
Node *temp = currY->next;
currY->next = currX->next;
currX->next = temp;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c2
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a71d09b89496f09677d8d92")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
Node *next;
Node *prev;
};
Above structure is used to define the linked list, You have to complete the below functions only */
void insertAtBeg(Node **head , int data){
Node *node = new Node(data);
node->data = data;
node->next = *head;
node->prev = NULL;
if(head != NULL){
(*head)->prev = node;
}
*head = node;
}
int deleteAtEnd(Node *head){
Node *last = head;
while (last->next != NULL)
{
last = last->next;
}
int x = last->data;
last->prev->next = NULL;
delete(last);
return x;
}
Node* rotateByK(Node* head, int k)
{
if(head == NULL){
return head;
}
for (int i = 0; i < k; i++)
{
int x = deleteAtEnd(head);
insertAtBeg(&head,x);
}
return head;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a71d13989496f09677d8d9d")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
Node *next;
Node *prev;
};
Above structure is used to define the linked list, You have to complete the below functions only */
Node* rearrangeList(Node* head){
int i = 1;
Node *even = NULL;
Node *odd = NULL;
Node *last = head;
while (last != NULL)
{
if(i%2 == 0){
even = insertEnd(even , last->data);
}
if(i%2 != 0){
odd = insertEnd(odd , last->data);
}
last = last->next;
i++;
}
Node *final = NULL;
while (even != NULL)
{
final = insertEnd(final , even->data);
even = even->next;
}
while (odd != NULL)
{
final = insertEnd(final , odd->data);
odd = odd->next;
}
return final;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
######################################################################333333
driver.get("https://codequotient.com/attempt/attempttutorial/60d991baccde02f820596293/5a6346f9e2509a3288171d86")
button = driver.find_elements_by_xpath("//a[text()='run']")
driver.execute_script("arguments[0].click();",button[0])
time.sleep(2);
driver.execute_script("arguments[0].click();",button[1])
time.sleep(2)
#MCQ5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f4e8389496f09677d68eb")#link
driver.find_element_by_id("chkOpt2").click()#
driver.find_element_by_id("executeMCQ").click()#Submit Button
time.sleep(2)
# MCQ3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a6f4f0a89496f09677d68f2")#link
driver.find_element_by_id("txtOutput0").send_keys("5")
driver.find_element_by_id("txtOutput1").send_keys("4")
driver.find_element_by_id("txtOutput2").send_keys("5")
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(3)
# c1
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a7593d2a0bdb04eb16c3c04")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
struct Node* next;
};
Above structure is used to define the linked list, You have to complete the below functions only */
int isCircular(Node* head){
if(head == NULL){
return 1;
}
Node *node = head->next;
while (node != head && node != NULL)
{
node = node->next;
}
return (node == head);
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c2
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a759518a0bdb04eb16c3c0f")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
Node* next;
};
Above structure is used to define the linked list, You have to complete the below functions only */
Node* insertBeg(Node* head, int data){
Node *ptr = new Node();
ptr->data = data;
ptr->next = NULL;
Node *temp ;
if(ptr == NULL){
cout<<endl;
printf("OVERFLOW");
}
else{
if(head == NULL){
head = ptr;
ptr->next = head;
}
else{
temp = head;
while (temp->next != head)
{
temp = temp->next;
}
ptr->next = head;
temp->next = ptr;
head = ptr;
}
}
return head;
}
Node* insertEnd(Node* head, int data){
Node *ptr = new Node();
ptr->data = data;
ptr->next = NULL;
Node *temp ;
if(ptr == NULL){
cout<<endl;
printf("OVERFLOW");
}
else{
if(head == NULL){
head = ptr;
ptr->next = head;
}
else{
temp = head;
while (temp->next != head)
{
temp = temp->next;
}
temp->next = ptr;
ptr->next = head;
return head;
}
}
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c3
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a7595baa0bdb04eb16c3c19")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
Node* next;
};
Above structure is used to define the linked list, You have to complete the below functions only */
Node* deleteBeg(Node* head){
Node *p = head;
while (p->next != head)
{
p = p->next;
}
p->next = head->next;
int x = head->data;
delete head;
head = p->next;
return head;
}
Node* deleteEnd(Node* head){
Node *p = head;
while (p->next->next != head)
{
p = p->next;
}
Node *q = p->next;
p->next = head;
delete q;
return head;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c4
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a75964aa0bdb04eb16c3c20")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
Node* next;
};
Above structure is used to define the linked list, You have to complete the below functions only */
int countNodes(Node* head){
int length = 0;
if(head == NULL){
return 0;
}
Node *p = head;
while (p->next != head)
{
length++;
p = p->next;
}
return length+1;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c5
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a7597cfa0bdb04eb16c3c26")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
struct Node* next;
};
Above structure is used to define the linked list, You have to complete the below functions only */
void sortedInsert(Node **head , Node *newN){
Node *current = *head;
if(current == NULL){
newN->next = newN;
*head = newN;
}
else if(current->data >= newN->data){
/* If value is smaller than head's value then
we need to change next of last node */
*head = insertBeg(*head , newN->data);
}
else{
/* Locate the node before the point of insertion */
while (current->next != *head && current->next->data < newN->data)
{
current = current->next;
}
newN->next = current->next;
current->next = newN;
}
}
Node* insertSorted(Node* head , int k){
Node *ptr = new Node();
ptr->data = k;
sortedInsert(&head ,ptr);
return head;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
# c6
driver.get("https://codequotient.com/attempt/attemptquestion/60d991baccde02f820596293/5a759729a0bdb04eb16c3c23")#link
t = driver.find_elements_by_class_name("CodeMirror-code")
t[1].click()
time.sleep(2)
pyautogui.hotkey('ctrl', 'a')
pyperclip.copy("""
/* struct Node
{
int data;
struct Node* next;
};
Above structure is used to define the linked list, You have to complete the below functions only */
Node* listCut(Node* head){
Node *head1=NULL;
Node *head2=NULL;
Node *temp1=head;
Node *temp2=head;
if(head==NULL) return 0;
while(temp2->next!=head && temp2->next->next!=head){
temp2=temp2->next->next;
temp1=temp1->next;
}
if(temp2->next->next==head) temp2=temp2->next;
head1=head;
if(head->next!=head) head2=temp1->next;
temp2->next=temp1->next;
temp1->next=head;
return head1,head2;
}
""")
pyautogui.hotkey('ctrl', 'v')
WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.ID, "executeProgram"))).click()#Submit Button
time.sleep(2)
|
[
"noreply@github.com"
] |
Hiten1502.noreply@github.com
|
20906b867a86191964ed50bf89e46d6cea287b00
|
742e4ba2a554b1d37c84190ae0ed8b271e4671ab
|
/plot_service/settings.py
|
2b63e35391b5682a34247ef962c84b9a743d8b3e
|
[] |
no_license
|
xiaoxuwu/chpr-plot-service
|
ebbfd6be545679d5b5e7c1602ca88136b057e9a4
|
1cde0ee3e9dfd6aa48f06ff68b268b5a03f72b63
|
refs/heads/master
| 2020-05-09T16:17:21.135337
| 2019-05-31T08:59:55
| 2019-05-31T08:59:55
| 181,265,500
| 0
| 0
| null | 2019-05-31T18:02:59
| 2019-04-14T05:43:01
|
JavaScript
|
UTF-8
|
Python
| false
| false
| 3,543
|
py
|
"""
Django settings for plot_service project.
Generated by 'django-admin startproject' using Django 2.1.7.
For more information on this file, see
https://docs.djangoproject.com/en/2.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.1/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/2.1/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'k583or_5w=^bw1b8sb9er^&2(+3br@*c^_0p61jzgkygg+dfk('
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = ['*']
# Application definition
INSTALLED_APPS = [
'internal.apps.InternalConfig',
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'django_cleanup',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'plot_service.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'plot_service.wsgi.application'
# Database
# https://docs.djangoproject.com/en/2.1/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql',
'NAME': 'postgres',
'USER': 'postgres',
'PASSWORD': 'Us7JdibopXhaLRScZIIplUOzv9HcWzz5',
'HOST': 'db',
'PORT': 5432,
}
}
# Password validation
# https://docs.djangoproject.com/en/2.1/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/2.1/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/2.1/howto/static-files/
STATIC_ROOT = os.path.join(BASE_DIR, 'staticfiles')
STATIC_URL = '/static/'
STATICFILES_DIRS = (
os.path.join(BASE_DIR, 'static'),
)
ENV_PATH = os.path.abspath(os.path.dirname(__file__))
MEDIA_ROOT = os.path.join(ENV_PATH, 'media/')
# Admin
ADMIN_SITE_HEADER = "CHPR Plot Service Management"
|
[
"carter.wu@ucla.edu"
] |
carter.wu@ucla.edu
|
5f32f8cc6cbabc1059e03e1779cf94d2f294fd76
|
9cb7debe213e40b87833076f944ccd01d83ab2d9
|
/pywick/models/segmentation/testnets/exfuse/__init__.py
|
f05a4cf8d911693123d7967bd1352fbd13083569
|
[
"MIT",
"BSD-3-Clause",
"Apache-2.0",
"BSD-2-Clause"
] |
permissive
|
csetraynor/pywick
|
7c580eb46cc48a0d7d92acd7f770079a37c84304
|
9d663faf0c1660a9b8359a6472c164f658dfc8cb
|
refs/heads/master
| 2023-08-21T06:25:05.197965
| 2021-10-22T03:09:17
| 2021-10-22T03:09:17
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 65
|
py
|
"""
Source: https://github.com/rplab-snu/nucleus_segmentation
"""
|
[
"Alexei.Samoylov@digikey.com"
] |
Alexei.Samoylov@digikey.com
|
ab464f58e95e506c9fba97a806bf99379fd6ff5a
|
0f58a177cdecbbabc276fd8c2dd7ffe7d53c189d
|
/Random_Week_image_resize.py
|
a88eff88d74e1217e1be1a8968c66529ea7710d6
|
[] |
no_license
|
tianpei2/Trips_Time-series
|
60e5f30aa5856f9cdf1709342c58d1c25f46a6c4
|
da0371668fe7ca73fe8e485cd8aa094bbbd294cf
|
refs/heads/master
| 2020-05-26T15:22:55.459189
| 2018-10-01T15:10:09
| 2018-10-01T15:10:09
| 85,010,100
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 386
|
py
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat Apr 15 22:01:58 2017
@author: wangtianpei
"""
dir_path = "/Users/wangtianpei/Desktop/Random_Week/"
import PIL
from PIL import Image
for i in range(671):
image = Image.open(dir_path+'flow_{}.png'.format(i))
img = image.resize((2100,1290), PIL.Image.ANTIALIAS)
img.save(dir_path+'flow_test_{}.png'.format(i))
|
[
"tianpei3@gmail.com"
] |
tianpei3@gmail.com
|
dc2303b686f9974a1137610564beb7dceee97b9d
|
4eb22dce382fe3465a58a9f43ea60322b1e0326f
|
/crab/crab_mc.py
|
046f65fab295fa5b8fdbe659e93c5b883874c9cf
|
[] |
no_license
|
leonardogiannini/vhbb-nano
|
a64bc18e50ba88b97bce5a9182d1673607a37d3b
|
6ef8210faca0aeaba0857db5c41a59cdf4ebd10b
|
refs/heads/master
| 2021-04-03T06:27:25.618867
| 2018-03-14T20:40:12
| 2018-03-14T20:40:12
| 124,595,678
| 0
| 0
| null | 2018-03-09T21:33:25
| 2018-03-09T21:33:24
| null |
UTF-8
|
Python
| false
| false
| 2,024
|
py
|
import sys
from CRABClient.UserUtilities import config, getUsernameFromSiteDB
config = config()
config.General.requestName = 'VHbbPostNano2016_V1'
config.General.workArea = 'crab_projects'
config.General.transferOutputs = True
config.General.transferLogs = True
config.JobType.pluginName = 'Analysis'
config.JobType.psetName = 'PSet.py'
config.JobType.scriptExe = 'crab_script.sh'
config.JobType.inputFiles = ['../keep_and_drop.txt','../postproc.py','../../../../../../scripts/haddnano.py'] #hadd nano will not be needed once nano tools are in cmssw
config.JobType.sendPythonFolder = True
config.Data.inputDataset = '/TT_TuneCUETP8M2T4_13TeV-powheg-pythia8/RunIISummer16MiniAODv2-PUMoriond17_80X_mcRun2_asymptotic_2016_TrancheIV_v6-v1/MINIAODSIM'
config.Data.inputDBS = 'global'
config.Data.splitting = 'EventAwareLumiBased'
config.Data.outLFNDirBase = '/store/user/%s/VHbbPostNano2016_V1/' % (getUsernameFromSiteDB())
config.Data.publication = True
#config.Data.outputDatasetTag = 'RunIISummer17MiniAOD-92X-NanoCrabProd006'
config.Data.outputDatasetTag = 'RunIISummer16MiniAODv2-PUMoriond17-80X-VHbbPostNano2016_V1'
config.Data.allowNonValidInputDataset = True
config.Site.storageSite = 'T2_CH_CERN'
#sites=['T2_IT_Legnaro','T2_IT_Bari','T2_IT_Pisa','T2_CH_CERN']
sites=['T2_CH_CERN']
if __name__ == '__main__':
f=open(sys.argv[1])
content = f.readlines()
content = [x.strip() for x in content]
from CRABAPI.RawCommand import crabCommand
n=79
for dataset in content :
#site=sites[n%4]
#config.Site.storageSite=site
#if site=='T2_CH_CERN' :
# config.Data.outLFNDirBase= '/store/group/cmst3/group/nanoAOD/NanoTestProd006'
#else :
# config.Data.outLFNDirBase = '/store/user/%s/NanoTestProd006/' % (getUsernameFromSiteDB())
config.Data.inputDataset = dataset
config.Data.unitsPerJob = 2000000
n+=1
nnn="%s"%n
config.General.requestName = "VHbbPostNano2016_V1"+dataset.split('/')[1][:30]+dataset.split('/')[2][:30]+nnn
crabCommand('submit', config = config)
|
[
"stephane.b.cooperstein@cern.ch"
] |
stephane.b.cooperstein@cern.ch
|
9218806546d7b9ce9b66dcbbc82107ef7c032296
|
2f1f742ae400da451c2f92348d7d40b21afb245d
|
/sender.py
|
03c7d5322c5e93f265739a48af10fd159529f5db
|
[] |
no_license
|
Plocatel/Speech_Fitt
|
869b14e580bb6a4035bb48df8f37ee3d22be4737
|
2ad272205d6acdb8253270eac38e25fbf2232871
|
refs/heads/master
| 2021-01-20T22:34:20.488270
| 2013-06-25T12:52:09
| 2013-06-25T12:52:09
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 649
|
py
|
#!/usr/bin/python
#-*-coding:utf8-*-
from PyQt4.QtGui import *
from PyQt4.QtCore import *
import sys
import subprocess
class Sender(QThread):
def __init__(self,id_):
QThread.__init__(self)
self.index = "-1"
self.id_ = id_
def __del__(self):
self.wait()
def run(self):
#print "[",self.id_,"] send : ",self.index
p=subprocess.Popen(["./send.sh",str(self.index)],stdout=subprocess.PIPE,stderr=subprocess.STDOUT)
line = unicode(p.stdout.readline(), "utf-8")
self.emit(SIGNAL("understand"),line)
def analyse(self,index):
self.index = index
self.start()
|
[
"locap25@gmail.com"
] |
locap25@gmail.com
|
490a1cd0f8b919fe42e8ad8ef3ee418b8a65231c
|
712a10965421313f657511af645f238603eab7fb
|
/appium_practice_3/Base/get_driver.py
|
b5e0e24cbc1ac7fce7ff01e06b47084a0af74ca6
|
[] |
no_license
|
ahahayaya/appium_practice
|
cd3725d413fc9bbb1bf7221271a99790bcefa974
|
1e0684e2eb395ae7350df477b9841b3960087a73
|
refs/heads/master
| 2021-03-25T12:48:28.729542
| 2020-03-16T05:43:49
| 2020-03-16T05:43:49
| 247,619,730
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 316
|
py
|
from appium import webdriver
def get_driver():
desired_caps={}
desired_caps['platformName']='Android'
desired_caps['deviceName']='xx'
desired_caps['appPackage']='com.android.settings'
desired_caps['appActivity']='.Settings'
return webdriver.Remote('http://127.0.0.1:4723/wd/hub',desired_caps)
|
[
"hi_emily_wu@163.com"
] |
hi_emily_wu@163.com
|
e6a83c95528d8511ff90cfc2aad4b010e8c95dc2
|
f089a503eba0a93430fc9ab2d877a1b9b99f3182
|
/Kontrola_Danych.py
|
c8e744794141a46c5c24b2d5249999624c7b3380
|
[
"MIT"
] |
permissive
|
bDOT666/Statystycznie
|
7678cf42a4f4e4bd81221cc4cf0814be42f35650
|
945a52568be764105f716c083eac89da176396aa
|
refs/heads/master
| 2020-12-20T13:41:52.092265
| 2020-03-09T20:58:53
| 2020-03-09T20:58:53
| 236,095,568
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 17,391
|
py
|
import csv
import tkinter
from tkinter import messagebox as msb
from tkinter import scrolledtext
from tkinter.filedialog import *
import scipy.stats as stats
import pandas as pd
import numpy as np
import math as mat
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
import matplotlib
matplotlib.use('TkAgg')
#
#
# ------------- KONTROLA DANYCH --------------
#
#
slownik = {}
lista_boxow =[]
def wczytaj_plik(scierzeka, przycisk_1, przycisk_2):
global lista
fc = tkinter.filedialog.askopenfilename(
initialdir='/',
title='Wybierz plik csv',
filetypes=[('text files', '.csv')])
f = open(fc, 'r')
dialect = csv.Sniffer().sniff(f.read(1024), delimiters=";, ")
f.seek(0)
reader = csv.reader(f, dialect)
lista = list(reader)
lista = np.array(lista)
scierzeka.config(text=fc)
odpal(przycisk_1)
odpal(przycisk_2)
class WybieranieKolumn(tkinter.Tk):
def __init__(self, *args, **kwargs):
tkinter.Tk.__init__(self, *args, **kwargs)
self.resizable(width=False, height=False)
# ustawienie
frame4 = Frame(self)
frame5 = Frame(self)
frame6 = Frame(self)
frame7 = Frame(self)
frame8 = Frame(self)
frame9 = Frame(self)
frame10 = Frame(self)
frame4.grid(row=1, column=0, rowspan=5, sticky=W + E)
frame5.grid(row=1, column=2, rowspan=5, sticky=W + E)
frame6.grid(row=6, column=2, sticky=W + E)
frame7.grid(row=1, column=1, sticky=W + E)
frame8.grid(row=2, column=1, sticky=W + E)
frame9.grid(row=4, column=1, sticky=W + E)
frame10.grid(row=5, column=1, sticky=W + E)
# lista z tego pobieram
self.Rama1 = tkinter.Frame(frame4)
self.Pasek = tkinter.Scrollbar(self.Rama1)
self.ListaBox = tkinter.Listbox(self.Rama1)
self.ListaBox.delete(0, tkinter.END)
for i in range(len(lista[0])):
self.ListaBox.insert(tkinter.END, lista[0, i])
self.Pasek['command'] = self.ListaBox.yview
self.ListaBox['yscrollcommand'] = self.Pasek.set
self.ListaBox.bind('<<ListboxSelect>>')
# Lista do tego pobieram i przyciski
self.Rama2 = tkinter.Frame(frame5)
self.Pasek2 = tkinter.Scrollbar(self.Rama2)
self.ListaBox2 = tkinter.Listbox(self.Rama2)
self.Pasek2['command'] = self.ListaBox2.yview
self.ListaBox2['yscrollcommand'] = self.Pasek2.set
self.ListaBox2.bind('<<ListboxSelect>>')
self.B_wybor = tkinter.Button(frame6, text='OK', command=self.wyjmij_z_listy)
self.B_jedna_plus = tkinter.Button(frame7, text='>', command=self.daj_jedno)
self.B_wszystkie_plus = tkinter.Button(frame8, text='>>', command=self.dodaj_wszystki)
self.B_jedna_minus = tkinter.Button(frame9, text='< ', command=self.usun_jedno)
self.B_wszystkie_minus = tkinter.Button(frame10, text='<< ', command=self.usun_wszystki)
# packi
self.Rama1.pack()
self.Pasek.pack(side=tkinter.RIGHT, fill=tkinter.Y)
self.ListaBox.pack(side=tkinter.LEFT, fill=tkinter.Y)
self.Rama2.pack()
self.Pasek2.pack(side=tkinter.RIGHT, fill=tkinter.Y)
self.ListaBox2.pack(side=tkinter.LEFT, fill=tkinter.Y)
self.B_wybor.pack()
self.B_jedna_plus.pack()
self.B_wszystkie_plus.pack()
self.B_jedna_minus.pack()
self.B_wszystkie_minus.pack()
def daj_jedno(self):
a = str((self.ListaBox.get(self.ListaBox.curselection())))
self.ListaBox2.insert(tkinter.END, a)
def dodaj_wszystki(self):
self.ListaBox2.delete(0, tkinter.END)
for i in range(len(lista[0])):
self.ListaBox2.insert(tkinter.END, lista[0, i])
def usun_jedno(self):
self.ListaBox2.delete(tkinter.ANCHOR)
def usun_wszystki(self):
self.ListaBox2.delete(0, tkinter.END)
def wyjmij_z_listy(self):
global wybrane_kolumny
wybrane_kolumny = list(self.ListaBox2.get(0, tkinter.END))
# Aktywoj.config(state="normal")
self.destroy()
def wybierz_kolumny():
klasa_kolumny = WybieranieKolumn()
klasa_kolumny.mainloop()
def zatwierdz_kolumny(przycisk_1, przycisk_2):
global Nowa_lista
global Naglowki
Nowa_lista = np.empty([len(lista), 0])
ii = 0
while ii < len(wybrane_kolumny):
a = wybrane_kolumny[ii]
for i, j in enumerate(lista[0]):
if j == a:
Nowa_lista = np.append(Nowa_lista, lista[:, i:i + 1], axis=1)
ii = ii + 1
Naglowki = Nowa_lista[0]
try:
Nowa_lista = Nowa_lista.astype(np.float)
except:
try:
Nowa_lista = Nowa_lista[1:len(Nowa_lista), :].astype(np.float)
except:
Nowa_lista = np.char.replace(Nowa_lista, ',', '.')
try:
Nowa_lista = Nowa_lista.astype(np.float)
except:
try:
Nowa_lista = Nowa_lista[1:len(Nowa_lista), :].astype(np.float)
except:
msb.showinfo("Uwaga!", "Wybrane kolumny zawierają dane tekstowe!\nWybierz inne kolumny!")
odpal(przycisk_1)
odpal(przycisk_2)
print(Naglowki)
def wybierz_do_wypisania(dane, okno, ile_wierszy):
for x in range(len(dane[0])):
for y in range(ile_wierszy):
wez = tkinter.StringVar(okno)
pokaz = tkinter.Label(okno, textvariable=wez)
a = dane[y, x]
wez.set(a)
pokaz.grid(row=y, column=x)
class PodgladWybrane(tkinter.Tk):
def __init__(self, *args, **kwargs):
tkinter.Tk.__init__(self, *args, **kwargs)
self.resizable(width=False, height=False)
if len(Nowa_lista[:, 0]) > 20:
wybierz_do_wypisania(Nowa_lista, self, 20)
else:
wybierz_do_wypisania(Nowa_lista, self, len(Nowa_lista[:, 0]))
def podglad_kolumn():
klasa_wyniki = PodgladWybrane()
klasa_wyniki.mainloop()
class PodgladWszystko(tkinter.Tk):
def __init__(self, *args, **kwargs):
tkinter.Tk.__init__(self, *args, **kwargs)
self.resizable(width=False, height=False)
if len(Nowa_lista[:, 0]) > 20:
wybierz_do_wypisania(lista, self, 20)
else:
wybierz_do_wypisania(lista, self, len(lista[:, 0]))
def podglad_wszystko():
wyswietl_wszystko = PodgladWszystko()
wyswietl_wszystko.mainloop()
def zapis_pliku():
save = pd.DataFrame(data=Nowa_lista)
files = [('csv', '*.csv')]
file_name = asksaveasfilename(filetypes=files, defaultextension=files)
if file_name:
save.to_csv(file_name, sep=';', encoding='utf-8-sig')
def notatnik():
okno = Tk()
okno.title("Notatki")
okno.geometry('350x810')
notatki = scrolledtext.ScrolledText(okno, width=40, height=50)
notatki.grid(column=0, row=0)
okno.mainloop()
#
#
"""
# ------------- WSPEIRAJĄCE --------------
"""
#
#
def odpal(tabela):
tabela.config(state="normal")
def utworz_dataframe(dane, index, columny):
np_w = np.array(dane)
return pd.DataFrame(data=np_w, index=index, columns=columny)
def tworzenie_tabel_w_petli(dane, okno, poziom):
if poziom == 'True':
for x in range(len(dane)):
wez = tkinter.StringVar(okno)
pokaz = tkinter.Label(okno, textvariable=wez)
a = dane[x]
wez.set(a)
pokaz.grid(row=1, column=x + 2)
else:
for y in range(len(dane)):
wez = tkinter.StringVar(okno)
pokaz = tkinter.Label(okno, textvariable=wez)
a = dane[y]
wez.set(a)
pokaz.grid(row=y + 2, column=1)
def wypelanianie_tabeli_w_petli(dlugosc, okno, x):
for y in range(dlugosc):
okno.b2 = tkinter.Text(okno, width=10, height=1)
okno.b2.insert('end', okno.Wyniki[y])
okno.b2.config(state="disabled")
okno.b2.grid(row=y + 2, column=x + 2)
def donothig():
pass
def donothing():
pass
#
#
"""
# Miary Położenia
"""
#
#
class MiaryPol(tkinter.Tk):
def __init__(self, *args, **kwargs):
tkinter.Tk.__init__(self, *args, **kwargs)
self.resizable(width=False, height=False)
self.funkcje = [
'Wartość minimalna',
'Wartość maksymalna',
'Średnia arytmetyczna',
# 'Średnia geometryczna',
'Średnia harmoniczna',
'Kwartyl dolny',
'Mediana',
'Kwartyl górny']
self.save = []
for x1 in range(len(Nowa_lista[0])):
self.Wyniki = []
mini = np.nanmin(Nowa_lista[:, x1])
maxi = np.nanmax(Nowa_lista[:, x1])
sr_a = np.nanmean(Nowa_lista[:, x1])
# sr_g = stat.geometric_mean(Nowa_lista[:, x1])
sr_h = stats.hmean(Nowa_lista[:, x1], axis=0, dtype=None)
kw_d = np.nanquantile(Nowa_lista[:, x1], q=0.25)
med = np.nanmedian(np.sort(Nowa_lista[:, x1]))
kw_g = np.nanquantile(Nowa_lista[:, x1], q=0.75)
self.Wyniki.append(mini)
self.Wyniki.append(maxi)
self.Wyniki.append(sr_a)
# self.Wyniki.append(sr_g)
self.Wyniki.append(sr_h)
self.Wyniki.append(kw_d)
self.Wyniki.append(med)
self.Wyniki.append(kw_g)
self.save.append(self.Wyniki)
wypelanianie_tabeli_w_petli(len(self.funkcje), self, x1)
tworzenie_tabel_w_petli(Naglowki, self, poziom='True')
tworzenie_tabel_w_petli(self.funkcje, self, poziom='False')
self.l1 = Button(self, text='Zapisz wyniki', command=self.zapisz)
self.l1.grid(row=len(self.funkcje) + 3, column=len(Nowa_lista[0]) + 1, pady=10, sticky=W)
self.wolny = Label(self, text=' ', padx=10, pady=10)
self.wolny.grid(row=len(self.funkcje) + 3, column=len(Nowa_lista[0]) + 3)
def zapisz(self):
files = [('csv', '*.csv')]
file_name = asksaveasfilename(filetypes=files, defaultextension=files)
if file_name:
utworz_dataframe(self.save, Naglowki, self.funkcje).to_csv(file_name, sep=';', encoding='utf-8-sig')
def miary_polozenia():
klasa_wyniki = MiaryPol()
klasa_wyniki.mainloop()
class MiaryZmi(tkinter.Tk):
def __init__(self, *args, **kwargs):
tkinter.Tk.__init__(self, *args, **kwargs)
self.resizable(width=False, height=False)
self.funkcje = (
'Wariancja',
'Odchylenie standardowe',
'Odchylenie przeciętne',
'Klasyczny współczynnik zmienności',
'Rozstęp',
'Rozstęp międzykwartylowy',
'Odchylenie ćwiartkowe',
'Pozycyjny współczynnik zmienności')
self.save = []
for x1 in range(len(Nowa_lista[0])):
self.Wyniki = []
war = float(np.nanvar(Nowa_lista[:, x1]))
odch_s = np.nanstd(Nowa_lista[:, x1])
suma = 0
for i in range(len(Nowa_lista)):
suma = suma + mat.fabs(Nowa_lista[i, x1] - np.nanmean(Nowa_lista[:, x1]))
odch_p = suma / len(Nowa_lista[:, x1])
klas_wsp_z = (np.nanstd(Nowa_lista[:, x1]) / np.nanmean(Nowa_lista[:, x1])) * 100
roz = np.ptp(Nowa_lista[:, x1])
roz_m = stats.iqr(Nowa_lista[:, x1])
odch_c = stats.iqr(Nowa_lista[:, x1])
poz_wsp_z = ((stats.iqr(Nowa_lista[:, x1]) / 2) / np.nanmedian(np.sort(Nowa_lista[:, x1]))) * 100
self.Wyniki.append(war)
self.Wyniki.append(odch_s)
self.Wyniki.append(odch_p)
self.Wyniki.append(klas_wsp_z)
self.Wyniki.append(roz)
self.Wyniki.append(roz_m)
self.Wyniki.append(odch_c)
self.Wyniki.append(poz_wsp_z)
self.save.append(self.Wyniki)
wypelanianie_tabeli_w_petli(len(self.funkcje), self, x1)
tworzenie_tabel_w_petli(Naglowki, self, poziom='True')
tworzenie_tabel_w_petli(self.funkcje, self, poziom='False')
self.l1 = Button(self, text='Zapisz wyniki', command=self.zapisz)
self.l1.grid(row=len(self.funkcje) + 3, column=len(Nowa_lista[0]) + 1, pady=10, sticky=W)
self.wolny = Label(self, text=' ', padx=10, pady=10)
self.wolny.grid(row=len(self.funkcje) + 3, column=len(Nowa_lista[0]) + 3)
def zapisz(self):
files = [('csv', '*.csv')]
file_name = asksaveasfilename(filetypes=files, defaultextension=files)
if file_name:
utworz_dataframe(self.save, Naglowki, self.funkcje).to_csv(file_name, sep=';', encoding='utf-8-sig')
def miary_zmiennosci():
klasa_wyniki = MiaryZmi()
klasa_wyniki.mainloop()
def kappa():
pass
class MiaryAsy(tkinter.Tk):
def __init__(self, *args, **kwargs):
tkinter.Tk.__init__(self, *args, **kwargs)
self.resizable(width=False, height=False)
self.funkcje = ('Wskaźnik skośności',
'Pozycyjny wskaźnik skośności',
'Pozycyjny współczynnik asymetrii',
'Klasyczny współczynnik asymetrii',
'Współczynnik kurtozy',
'Współczynnik ekscesu')
self.save = []
for x1 in range(len(Nowa_lista[0])):
sko = stats.skew(Nowa_lista[:, x1])
y = np.sort(Nowa_lista[:, x1])
poz_sko = np.nanquantile(y, q=0.75) + np.nanquantile(y, q=0.25) - 2 * (np.nanmedian(y))
poz_asy = poz_sko / (np.nanquantile(y, q=0.75) - np.nanquantile(y, q=0.25))
mean = np.nanmean(Nowa_lista[:, x1])
a = 0
for i in range(len(Nowa_lista[:, x1])):
a = a + ((Nowa_lista[i, x1] - mean) ** 3)
m3 = a / len(Nowa_lista[:, x1])
kla_asy = m3 / (np.nanstd(Nowa_lista[:, x1]) ** 3)
kurtoza = stats.kurtosis(Nowa_lista[:, x1], axis=0, fisher=False)
k1 = (stats.kurtosis(Nowa_lista[:, x1], axis=0, fisher=False)) - 3
self.Wyniki = []
self.Wyniki.append(sko)
self.Wyniki.append(poz_sko)
self.Wyniki.append(poz_asy)
self.Wyniki.append(kla_asy)
self.Wyniki.append(kurtoza)
self.Wyniki.append(k1)
self.save.append(self.Wyniki)
wypelanianie_tabeli_w_petli(len(self.funkcje), self, x1)
tworzenie_tabel_w_petli(Naglowki, self, poziom='True')
tworzenie_tabel_w_petli(self.funkcje, self, poziom='False')
self.l1 = Button(self, text='Zapisz wyniki', command=self.zapisz)
self.l1.grid(row=len(self.funkcje) + 3, column=len(Nowa_lista[0]) + 1, pady=10, sticky=W)
self.wolny = Label(self, text=' ', padx=10, pady=10)
self.wolny.grid(row=len(self.funkcje) + 3, column=len(Nowa_lista[0]) + 3)
def zapisz(self):
files = [('csv', '*.csv')]
file_name = asksaveasfilename(filetypes=files, defaultextension=files)
if file_name:
utworz_dataframe(self.save, Naglowki, self.funkcje).to_csv(file_name, sep=';', encoding='utf-8-sig')
def miary_asymetrii():
klasa_wyniki = MiaryAsy()
klasa_wyniki.mainloop()
def kor_per():
pass
def kow():
pass
def kor_sper():
pass
def reg_lin():
pass
def reg_wyk():
pass
def reg_kwadt():
pass
#
#
"""
# Wykresy
"""
#
#
def kolumny_do_wykresow(ram2):
slownik.clear()
for cb in lista_boxow:
cb.destroy()
lista_boxow.clear()
for kolumna in Naglowki:
slownik[kolumna] = tkinter.IntVar()
c = tkinter.Checkbutton(ram2, text=kolumna, variable=slownik[kolumna])
c.pack()
lista_boxow.append(c)
def wyjmij_kolumny_wykresy():
do_wykresu = []
zmienne = []
for key, value in slownik.items():
if value.get() > 0:
i = Naglowki.tolist().index(key)
zmienne.append(i)
print(i)
print(key)
for i in zmienne:
do_wykresu.append(Nowa_lista[:, i])
return do_wykresu
def konwertuj_przed_wykresem():
do_wykresu = wyjmij_kolumny_wykresy()
do_wykresu = np.array(do_wykresu)
do_wykresu = do_wykresu.astype(np.float)
return do_wykresu
def rysuj_wykres(e1, e2, e3):
do_wykresu = konwertuj_przed_wykresem()
# W tym miejscu masz wyjęte wybrane wcześniej kolumny
# 'do_wykresu' to array z tymi wybranymi kolumnami
# ich liczba nie musi sięzgadzać, ale jak zrobisz samo wywolywanie wykresow to dodadm obostrzenie, żeby błąd
# wyskakiwał i podawał zakres ile możesz kolumn wybrać do danego wykresu
nazwa_wykres = e1.get()
nazwa_x = e2.get()
nazwa_y = e3.get()
v = do_wykresu[0]
p = do_wykresu[1]
fig = Figure()
ax = fig.add_subplot(111)
ax.plot(v, color='#4285F4', linewidth=0.51)
ax.plot(p, color='#DB4437', linewidth=0.51)
ax.invert_yaxis()
ax.set_title(nazwa_wykres, fontsize=16)
ax.set_ylabel(nazwa_x, fontsize=14)
ax.set_xlabel(nazwa_y, fontsize=14)
rysuj = Toplevel()
canvas = FigureCanvasTkAgg(fig, master=rysuj)
canvas.get_tk_widget().pack()
canvas.draw()
|
[
"mateusz.zietara8721@gmail.com"
] |
mateusz.zietara8721@gmail.com
|
7626a80f9dde988d8c40de3c64cf0d0275550f31
|
2b353f42255531c9cd67fce3f5336003c814d21e
|
/src/music/migrations/0002_auto_20191108_1659.py
|
13731103061be33085f244deb96448e446a0fb7d
|
[] |
no_license
|
14DENDIK/spot-music-app
|
469ce550d47ceb06108d886b146f759b063a1c55
|
1d69cbf0da9e223b1610bf94d27d8fbf96ce7408
|
refs/heads/master
| 2020-09-22T01:54:12.486762
| 2019-11-30T12:41:05
| 2019-11-30T12:41:05
| 225,008,375
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 405
|
py
|
# Generated by Django 2.2.7 on 2019-11-08 16:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('music', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='album',
name='image',
field=models.FileField(default='default.jpg', upload_to='album_images'),
),
]
|
[
"sardor.mukhitdinov98@gmail.com"
] |
sardor.mukhitdinov98@gmail.com
|
5a86e8439e4dd2f1d28803f2b0512fcc534d073f
|
eca77bc8d84f6011305e5c19463f3477ce7318fc
|
/python/tightWenuSelectionVBTFrelPFIsolation_cfi.py
|
39cc0026aa8c42345d6ea51aa822eca86ede295c
|
[] |
no_license
|
cms-analysis/TauAnalysis-Skimming
|
140e13a611a017e04c05675aeb02b29bbd11fc9f
|
77bf75c5ce9b4232cb6dec1097c6459b5c5270d9
|
refs/heads/master
| 2020-12-24T14:09:49.225323
| 2013-06-28T20:10:44
| 2013-06-28T20:10:44
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 12,050
|
py
|
import FWCore.ParameterSet.Config as cms
import copy
from PhysicsTools.PatAlgos.tools.coreTools import *
from PhysicsTools.PatAlgos.tools.jetTools import *
from PhysicsTools.PatUtils.tools.metUncertaintyTools import runMEtUncertainties
#--------------------------------------------------------------------------------
# Selection of W --> e nu candidate events passing VTBF selection
# documented in CMS PAS EWK-10-005
#--------------------------------------------------------------------------------
def filterTightWenuCandidates(process, isMC):
process.tightWenuSelectionSequence = cms.Sequence()
# Trigger requirements
process.load("HLTrigger.HLTfilters.hltHighLevel_cfi")
process.wenuHLTFilter = process.hltHighLevel.clone(
TriggerResultsTag = cms.InputTag("TriggerResults", "", "HLT"),
HLTPaths = cms.vstring([
# single electron triggers (2011 Run B)
'HLT_Ele32_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_v7',
'HLT_Ele25_CaloIdL_CaloIsoVL_TrkIdVL_TrkIsoVL_v5',
# single electron triggers (Summer'11 MC)
'HLT_Ele32_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_v1',
'HLT_Ele27_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_v2',
]),
throw = cms.bool(False)
)
process.tightWenuSelectionSequence += process.wenuHLTFilter
# Vertex selection
process.goodVertex = cms.EDFilter("VertexSelector",
src = cms.InputTag("offlinePrimaryVertices"),
cut = cms.string("isValid & ndof >= 4 & abs(z) < 24 & abs(position.Rho) < 2"),
filter = cms.bool(True)
)
process.tightWenuSelectionSequence += process.goodVertex
process.load("CommonTools.ParticleFlow.pfNoPileUp_cff")
process.pfPileUp.Enable = cms.bool(True)
process.pfPileUp.checkClosestZVertex = cms.bool(True)
process.tightWenuSelectionSequence += process.pfNoPileUpSequence
process.load("CommonTools.ParticleFlow.pfParticleSelection_cff")
process.tightWenuSelectionSequence += process.pfParticleSelectionSequence
process.load("PhysicsTools/PatAlgos/patSequences_cff")
# compute electron IsoDeposits
process.load("TauAnalysis.Skimming.electronPFIsolationDeposits_cff")
process.load("TauAnalysis.Skimming.electronPFIsolationValues_cff")
process.electronPFIsolationSequence = cms.Sequence(
process.electronPFIsolationDepositsSequence
* process.electronPFIsolationValuesSequence
)
process.tightWenuSelectionSequence += process.electronPFIsolationSequence
# configure pat::Electron production
process.patElectrons.isoDeposits = cms.PSet(
# CV: strings for IsoDeposits defined in PhysicsTools/PatAlgos/plugins/PATMuonProducer.cc
pfChargedHadrons = cms.InputTag("elecPFIsoDepositCharged"),
pfNeutralHadrons = cms.InputTag("elecPFIsoDepositNeutral"),
pfPhotons = cms.InputTag("elecPFIsoDepositGamma"),
user = cms.VInputTag(
cms.InputTag("elecPFIsoDepositChargedAll"),
cms.InputTag("elecPFIsoDepositPU")
)
)
process.patElectrons.userIsolation = cms.PSet(
# CV: strings for Isolation values defined in PhysicsTools/PatAlgos/src/MultiIsolator.cc
pfChargedHadron = cms.PSet(
deltaR = cms.double(0.4),
src = process.patElectrons.isoDeposits.pfChargedHadrons,
vetos = process.elecPFIsoValueCharged04.deposits[0].vetos,
skipDefaultVeto = process.elecPFIsoValueCharged04.deposits[0].skipDefaultVeto
),
pfNeutralHadron = cms.PSet(
deltaR = cms.double(0.4),
src = process.patElectrons.isoDeposits.pfNeutralHadrons,
vetos = process.elecPFIsoValueNeutral04.deposits[0].vetos,
skipDefaultVeto = process.elecPFIsoValueNeutral04.deposits[0].skipDefaultVeto
),
pfGamma = cms.PSet(
deltaR = cms.double(0.4),
src = process.patElectrons.isoDeposits.pfPhotons,
vetos = process.elecEBPFIsoValueGamma04.deposits[0].vetos,
skipDefaultVeto = process.elecEBPFIsoValueGamma04.deposits[0].skipDefaultVeto
),
user = cms.VPSet(
cms.PSet(
deltaR = cms.double(0.4),
src = process.patElectrons.isoDeposits.user[0],
vetos = process.elecEBPFIsoValueChargedAll04.deposits[0].vetos,
skipDefaultVeto = process.elecEBPFIsoValueChargedAll04.deposits[0].skipDefaultVeto
),
cms.PSet(
deltaR = cms.double(0.4),
src = process.patElectrons.isoDeposits.user[1],
vetos = process.elecPFIsoValuePU04.deposits[0].vetos,
skipDefaultVeto = process.elecPFIsoValuePU04.deposits[0].skipDefaultVeto
),
cms.PSet(
deltaR = cms.double(0.4),
src = process.patElectrons.isoDeposits.pfPhotons,
vetos = process.elecEEPFIsoValueGamma04.deposits[0].vetos,
skipDefaultVeto = process.elecEEPFIsoValueGamma04.deposits[0].skipDefaultVeto
),
cms.PSet(
deltaR = cms.double(0.4),
src = process.patElectrons.isoDeposits.user[0],
vetos = process.elecEEPFIsoValueChargedAll04.deposits[0].vetos,
skipDefaultVeto = process.elecEEPFIsoValueChargedAll04.deposits[0].skipDefaultVeto
)
)
)
process.patElectrons.addGenMatch = cms.bool(False)
process.patElectrons.embedHighLevelSelection = cms.bool(True)
process.patElectrons.usePV = cms.bool(False) # compute transverse impact parameter wrt. beamspot (not event vertex)
if not isMC:
# remove MC matching from standard PAT sequences
removeMCMatching(process, ["All"], outputInProcess = False)
process.patDefaultSequence.remove(process.patJetPartonMatch)
# select tight electrons, no isolation cuts applied
process.selectedElectronsWP80 = cms.EDFilter("PATElectronSelector",
src = cms.InputTag("patElectrons"),
cut = cms.string(
'pt > 25 & abs(eta) < 2.1 & ' + \
'(isEB & ' + \
' sigmaIetaIeta < 0.010 & ' + \
' deltaPhiSuperClusterTrackAtVtx < 0.06 & deltaEtaSuperClusterTrackAtVtx < 0.004 & ' + \
' hadronicOverEm < 0.04) | ' + \
'(isEE & ' + \
' sigmaIetaIeta < 0.030 & ' + \
' deltaPhiSuperClusterTrackAtVtx < 0.03 & deltaEtaSuperClusterTrackAtVtx < 0.007 & ' + \
' hadronicOverEm < 0.025)'
),
filter = cms.bool(True)
)
process.selectedElectronsWP80conversionVeto = cms.EDFilter("NPATElectronConversionFinder",
src = cms.InputTag("selectedElectronsWP80"),
filter = cms.bool(True)
)
# select loose electrons, used for di-electron veto
process.selectedElectronsWP95 = cms.EDFilter("PATElectronSelector",
src = cms.InputTag("patElectrons"),
cut = cms.string(
'pt > 20 & abs(eta) < 2.5 & ' + \
'gsfTrack.isNonnull & gsfTrack.trackerExpectedHitsInner.numberOfHits <= 1 &' + \
'(isEB & ' + \
' sigmaIetaIeta < 0.010 & ' + \
' deltaPhiSuperClusterTrackAtVtx < 0.80 & deltaEtaSuperClusterTrackAtVtx < 0.007 & ' + \
' hadronicOverEm < 0.15) | ' + \
'(isEE & ' + \
' sigmaIetaIeta < 0.030 & ' + \
' deltaPhiSuperClusterTrackAtVtx < 0.70 & deltaEtaSuperClusterTrackAtVtx < 0.010 & ' + \
' hadronicOverEm < 0.07)'
),
filter = cms.bool(False)
)
# select tight electrons which are isolated
process.selectedIsoElectronsWP80 = cms.EDFilter("PATElectronSelector",
src = cms.InputTag("selectedElectronsWP80conversionVeto"),
cut = cms.string(
'(isEB & ' + \
'(userIsolation("pat::User1Iso")' + \
' + max(0., userIsolation("pat::PfNeutralHadronIso") + userIsolation("pat::PfGammaIso")' + \
' - 0.5*userIsolation("pat::User2Iso"))) < 0.06*pt) | ' + \
'(isEE & ' + \
'(userIsolation("pat::User4Iso")' + \
' + max(0., userIsolation("pat::PfNeutralHadronIso") + userIsolation("pat::User3Iso")' + \
' - 0.5*userIsolation("pat::User2Iso"))) < 0.06*pt)'
),
filter = cms.bool(False)
)
process.patDefaultSequence.replace(
process.patElectrons,
process.patElectrons
* process.selectedElectronsWP80 * process.selectedElectronsWP80conversionVeto * process.selectedIsoElectronsWP80
* process.selectedElectronsWP95)
# configure pat::Jet production
# (enable L2L3Residual corrections in case running on Data)
jetCorrections = [ 'L1FastJet', 'L2Relative', 'L3Absolute' ]
if not isMC:
jetCorrections.append('L2L3Residual')
switchJetCollection(
process,
cms.InputTag('ak5PFJets'),
doJTA = True,
doBTagging = False,
jetCorrLabel = ( 'AK5PF', cms.vstring(jetCorrections) ),
doType1MET = False,
doJetID = True,
jetIdLabel = "ak5",
outputModule = ''
)
# configure pat::MET production
process.load("PhysicsTools.PatUtils.patPFMETCorrections_cff")
process.tightWenuSelectionSequence += process.kt6PFJets
process.tightWenuSelectionSequence += process.ak5PFJets
process.tightWenuSelectionSequence += process.patDefaultSequence
doSmearJets = None
if isMC:
doSmearJets = True
else:
doSmearJets = False
runMEtUncertainties(
process,
electronCollection = cms.InputTag('selectedIsoElectronsWP80'),
photonCollection = '',
muonCollection = '',
tauCollection = '',
jetCollection = cms.InputTag('patJets'),
doSmearJets = doSmearJets,
addToPatDefaultSequence = False
)
if isMC:
process.patPFMet.addGenMET = cms.bool(True)
process.patPFJetMETtype1p2Corr.jetCorrLabel = cms.string("L3Absolute")
process.tightWenuSelectionSequence += process.metUncertaintySequence
else:
process.patPFMet.addGenMET = cms.bool(False)
process.patPFJetMETtype1p2Corr.jetCorrLabel = cms.string("L2L3Residual")
process.tightWenuSelectionSequence += process.patJetsNotOverlappingWithLeptonsForMEtUncertainty
process.tightWenuSelectionSequence += process.producePatPFMETCorrections
# Apply event selection cuts
process.isoElectronWP80Filter = cms.EDFilter("CandViewCountFilter",
src = cms.InputTag("selectedIsoElectronsWP80"),
minNumber = cms.uint32(1)
)
process.tightWenuSelectionSequence += process.isoElectronWP80Filter
process.diElectronVeto = cms.EDFilter("PATCandViewMaxFilter",
src = cms.InputTag("selectedElectronsWP95"),
maxNumber = cms.uint32(1)
)
process.tightWenuSelectionSequence += process.diElectronVeto
process.WenuCandidates = cms.EDProducer("PATElecNuPairProducer",
srcVisDecayProducts = cms.InputTag('selectedIsoElectronsWP80'),
srcMET = cms.InputTag('patType1CorrectedPFMet'),
verbosity = cms.untracked.int32(0)
)
process.tightWenuSelectionSequence += process.WenuCandidates
process.selectedWenuCandidates = cms.EDFilter("PATElecNuPairSelector",
src = cms.InputTag("WenuCandidates"),
cut = cms.string('mt > 50.'),
filter = cms.bool(False)
)
process.tightWenuSelectionSequence += process.selectedWenuCandidates
process.tightWenuFilter = cms.EDFilter("CandViewCountFilter",
src = cms.InputTag("selectedWenuCandidates"),
minNumber = cms.uint32(1)
)
process.tightWenuSelectionSequence += process.tightWenuFilter
|
[
"sha1-5c72da6f595cce9b6b48aff6d56f01e9beb4aad1@cern.ch"
] |
sha1-5c72da6f595cce9b6b48aff6d56f01e9beb4aad1@cern.ch
|
24929fa4de6e90da6f4465579ec2ec11a4964780
|
0cf44538d8ae18de4effce86378d44d03c894f53
|
/NLP100/08.py
|
ac2635d771c8f8a46e7b875a553491119a40e95a
|
[] |
no_license
|
ichimunemasa/Study
|
f8b882de73567d7dd41227779f8ca1dd43372b63
|
ccd6103483a84c9196e20421d71e96ece770cb72
|
refs/heads/master
| 2020-04-15T14:02:26.149991
| 2016-09-08T03:59:25
| 2016-09-08T03:59:25
| 59,583,104
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 283
|
py
|
#-*- coding: utf-8 -*-
def cipher(string):
retString = "".join(chr(219-ord(c)) if "a"<=c<="z" else c for c in string)
return retString
if __name__=="__main__":
sentence="Hello, world!"
ciphertext=cipher(sentence)
print(sentence)
print(ciphertext)
print(cipher(ciphertext))
|
[
"isshu.mumanesa@gmail.com"
] |
isshu.mumanesa@gmail.com
|
5e465d0d4e698d15d7f0a5bb851da68800888aa9
|
c9ddbdb5678ba6e1c5c7e64adf2802ca16df778c
|
/cases/synthetic/tree-big-5202.py
|
4837237ad482a640129ddcb32bd111f766a43dd6
|
[] |
no_license
|
Virtlink/ccbench-chocopy
|
c3f7f6af6349aff6503196f727ef89f210a1eac8
|
c7efae43bf32696ee2b2ee781bdfe4f7730dec3f
|
refs/heads/main
| 2023-04-07T15:07:12.464038
| 2022-02-03T15:42:39
| 2022-02-03T15:42:39
| 451,969,776
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 23,288
|
py
|
# Binary-search trees
class TreeNode(object):
value:int = 0
left:"TreeNode" = None
right:"TreeNode" = None
def insert(self:"TreeNode", x:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode(x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode(x)
return True
else:
return self.right.insert(x)
return False
def contains(self:"TreeNode", x:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
class TreeNode2(object):
value:int = 0
value2:int = 0
left:"TreeNode2" = None
left2:"TreeNode2" = None
right:"TreeNode2" = None
right2:"TreeNode2" = None
def insert(self:"TreeNode2", x:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode2(x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode2(x, x)
return True
else:
return self.right.insert(x)
return False
def insert2(self:"TreeNode2", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode2(x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode2(x, x)
return True
else:
return self.right.insert(x)
return False
def contains(self:"TreeNode2", x:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains2(self:"TreeNode2", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
class TreeNode3(object):
value:int = 0
value2:int = 0
value3:int = 0
left:"TreeNode3" = None
left2:"TreeNode3" = None
left3:"TreeNode3" = None
right:"TreeNode3" = None
right2:"TreeNode3" = None
right3:"TreeNode3" = None
def insert(self:"TreeNode3", x:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode3(x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode3(x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert2(self:"TreeNode3", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode3(x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode3(x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert3(self:"TreeNode3", x:int, x2:int, x3:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode3(x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode3(x, x, x)
return True
else:
return self.right.insert(x)
return False
def contains(self:"TreeNode3", x:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains2(self:"TreeNode3", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains3(self:"TreeNode3", x:int, x2:int, x3:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
class TreeNode4(object):
value:int = 0
value2:int = 0
value3:int = 0
value4:int = 0
left:"TreeNode4" = None
left2:"TreeNode4" = None
left3:"TreeNode4" = None
left4:"TreeNode4" = None
right:"TreeNode4" = None
right2:"TreeNode4" = None
right3:"TreeNode4" = None
right4:"TreeNode4" = None
def insert(self:"TreeNode4", x:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode4(x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode4(x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert2(self:"TreeNode4", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode4(x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode4(x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert3(self:"TreeNode4", x:int, x2:int, x3:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode4(x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode4(x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert4(self:"TreeNode4", x:int, x2:int, x3:int, x4:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode4(x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode4(x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def contains(self:"TreeNode4", x:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains2(self:"TreeNode4", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains3(self:"TreeNode4", x:int, x2:int, x3:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains4(self:"TreeNode4", x:int, x2:int, x3:int, x4:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
class TreeNode5(object):
value:int = 0
value2:int = 0
value3:int = 0
value4:int = 0
value5:int = 0
left:"TreeNode5" = None
left2:"TreeNode5" = None
left3:"TreeNode5" = None
left4:"TreeNode5" = None
left5:"TreeNode5" = None
right:"TreeNode5" = None
right2:"TreeNode5" = None
right3:"TreeNode5" = None
right4:"TreeNode5" = None
right5:"TreeNode5" = None
def insert(self:"TreeNode5", x:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode5(x, x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode5(x, x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert2(self:"TreeNode5", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode5(x, x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode5(x, x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert3(self:"TreeNode5", x:int, x2:int, x3:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode5(x, x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode5(x, x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert4(self:"TreeNode5", x:int, x2:int, x3:int, x4:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode5(x, x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode5(x, x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def insert5(self:"TreeNode5", x:int, x2:int, x3:int, x4:int, x5:int) -> bool:
if x < self.value:
if self.left is None:
self.left = makeNode5(x, x, x, x, x)
return True
else:
return self.left.insert(x)
elif x > self.value:
if self.right is None:
self.right = makeNode5(x, x, x, x, x)
return True
else:
return self.right.insert(x)
return False
def contains(self:"TreeNode5", x:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains2(self:"TreeNode5", x:int, x2:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains3(self:"TreeNode5", x:int, x2:int, x3:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains4(self:"TreeNode5", x:int, x2:int, x3:int, x4:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
def contains5(self:"TreeNode5", x:int, x2:int, x3:int, x4:int, x5:int) -> bool:
if x < self.value:
if self.left is None:
return False
else:
return self.left.contains(x)
elif x > self.value:
if self.right is None:
return False
else:
return self.right.contains(x)
else:
return True
class Tree(object):
root:TreeNode = None
size:int = 0
def insert(self:"Tree", x:int) -> object:
if self.root is None:
self.root = makeNode(x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def contains(self:"Tree", x:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
class Tree2(object):
root:TreeNode2 = None
root2:TreeNode2 = None
size:int = 0
size2:int = 0
def insert(self:"Tree2", x:int) -> object:
if self.root is None:
self.root = makeNode2(x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert2(self:"Tree2", x:int, x2:int) -> object:
if self.$ID is None:
self.root = makeNode2(x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def contains(self:"Tree2", x:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains2(self:"Tree2", x:int, x2:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
class Tree3(object):
root:TreeNode3 = None
root2:TreeNode3 = None
root3:TreeNode3 = None
size:int = 0
size2:int = 0
size3:int = 0
def insert(self:"Tree3", x:int) -> object:
if self.root is None:
self.root = makeNode3(x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert2(self:"Tree3", x:int, x2:int) -> object:
if self.root is None:
self.root = makeNode3(x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert3(self:"Tree3", x:int, x2:int, x3:int) -> object:
if self.root is None:
self.root = makeNode3(x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def contains(self:"Tree3", x:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains2(self:"Tree3", x:int, x2:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains3(self:"Tree3", x:int, x2:int, x3:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
class Tree4(object):
root:TreeNode4 = None
root2:TreeNode4 = None
root3:TreeNode4 = None
root4:TreeNode4 = None
size:int = 0
size2:int = 0
size3:int = 0
size4:int = 0
def insert(self:"Tree4", x:int) -> object:
if self.root is None:
self.root = makeNode4(x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert2(self:"Tree4", x:int, x2:int) -> object:
if self.root is None:
self.root = makeNode4(x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert3(self:"Tree4", x:int, x2:int, x3:int) -> object:
if self.root is None:
self.root = makeNode4(x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert4(self:"Tree4", x:int, x2:int, x3:int, x4:int) -> object:
if self.root is None:
self.root = makeNode4(x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def contains(self:"Tree4", x:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains2(self:"Tree4", x:int, x2:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains3(self:"Tree4", x:int, x2:int, x3:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains4(self:"Tree4", x:int, x2:int, x3:int, x4:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
class Tree5(object):
root:TreeNode5 = None
root2:TreeNode5 = None
root3:TreeNode5 = None
root4:TreeNode5 = None
root5:TreeNode5 = None
size:int = 0
size2:int = 0
size3:int = 0
size4:int = 0
size5:int = 0
def insert(self:"Tree5", x:int) -> object:
if self.root is None:
self.root = makeNode5(x, x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert2(self:"Tree5", x:int, x2:int) -> object:
if self.root is None:
self.root = makeNode5(x, x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert3(self:"Tree5", x:int, x2:int, x3:int) -> object:
if self.root is None:
self.root = makeNode5(x, x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert4(self:"Tree5", x:int, x2:int, x3:int, x4:int) -> object:
if self.root is None:
self.root = makeNode5(x, x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def insert5(self:"Tree5", x:int, x2:int, x3:int, x4:int, x5:int) -> object:
if self.root is None:
self.root = makeNode5(x, x, x, x, x)
self.size = 1
else:
if self.root.insert(x):
self.size = self.size + 1
def contains(self:"Tree5", x:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains2(self:"Tree5", x:int, x2:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains3(self:"Tree5", x:int, x2:int, x3:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains4(self:"Tree5", x:int, x2:int, x3:int, x4:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def contains5(self:"Tree5", x:int, x2:int, x3:int, x4:int, x5:int) -> bool:
if self.root is None:
return False
else:
return self.root.contains(x)
def makeNode(x: int) -> TreeNode:
b:TreeNode = None
b = TreeNode()
b.value = x
return b
def makeNode2(x: int, x2: int) -> TreeNode2:
b:TreeNode2 = None
b2:TreeNode2 = None
b = TreeNode2()
b.value = x
return b
def makeNode3(x: int, x2: int, x3: int) -> TreeNode3:
b:TreeNode3 = None
b2:TreeNode3 = None
b3:TreeNode3 = None
b = TreeNode3()
b.value = x
return b
def makeNode4(x: int, x2: int, x3: int, x4: int) -> TreeNode4:
b:TreeNode4 = None
b2:TreeNode4 = None
b3:TreeNode4 = None
b4:TreeNode4 = None
b = TreeNode4()
b.value = x
return b
def makeNode5(x: int, x2: int, x3: int, x4: int, x5: int) -> TreeNode5:
b:TreeNode5 = None
b2:TreeNode5 = None
b3:TreeNode5 = None
b4:TreeNode5 = None
b5:TreeNode5 = None
b = TreeNode5()
b.value = x
return b
# Input parameters
n:int = 100
n2:int = 100
n3:int = 100
n4:int = 100
n5:int = 100
c:int = 4
c2:int = 4
c3:int = 4
c4:int = 4
c5:int = 4
# Data
t:Tree = None
t2:Tree = None
t3:Tree = None
t4:Tree = None
t5:Tree = None
i:int = 0
i2:int = 0
i3:int = 0
i4:int = 0
i5:int = 0
k:int = 37813
k2:int = 37813
k3:int = 37813
k4:int = 37813
k5:int = 37813
# Crunch
t = Tree()
while i < n:
t.insert(k)
k = (k * 37813) % 37831
if i % c != 0:
t.insert(i)
i = i + 1
print(t.size)
for i in [4, 8, 15, 16, 23, 42]:
if t.contains(i):
print(i)
|
[
"647530+Virtlink@users.noreply.github.com"
] |
647530+Virtlink@users.noreply.github.com
|
10e22fdfd1f29330b01da0a09e6fed784e1be70d
|
6009d030d328cd081df8a2b7262e5138ffdc51ee
|
/waifu2x/waifu2x-caffe@lltcggie/upconv_7_photo/symbol.py
|
3b610e91707b0f4d1a539405d3a69d691ec4e037
|
[] |
no_license
|
DBSOM-X/Super-Resolution-Zoo
|
dcaa7f63c987e24691100fe833b6f480142bea48
|
041842f177ab4aa59287f8561ec9b3446bd4826c
|
refs/heads/master
| 2022-06-14T05:51:24.716028
| 2019-06-25T02:00:15
| 2019-06-25T02:00:15
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,187
|
py
|
import mxnet as mx
data = mx.symbol.Variable(name='data')
data = mx.sym.pad(data=data, mode='reflect', pad_width=(0, 0, 0, 0, 7, 7, 7, 7))
conv1_layer = mx.symbol.Convolution(name='conv1_layer', data=data, num_filter=16, pad=(0, 0), kernel=(3,3), stride=(1,1), no_bias=False, dilate=(1, 1), num_group=1, layout='NCHW')
conv1_relu_layer = mx.symbol.LeakyReLU(name='conv1_relu_layer', data=conv1_layer, act_type='leaky', slope=0.100000)
conv2_layer = mx.symbol.Convolution(name='conv2_layer', data=conv1_relu_layer, num_filter=32, pad=(0, 0), kernel=(3,3), stride=(1,1), no_bias=False, dilate=(1, 1), num_group=1, layout='NCHW')
conv2_relu_layer = mx.symbol.LeakyReLU(name='conv2_relu_layer', data=conv2_layer, act_type='leaky', slope=0.100000)
conv3_layer = mx.symbol.Convolution(name='conv3_layer', data=conv2_relu_layer, num_filter=64, pad=(0, 0), kernel=(3,3), stride=(1,1), no_bias=False, dilate=(1, 1), num_group=1, layout='NCHW')
conv3_relu_layer = mx.symbol.LeakyReLU(name='conv3_relu_layer', data=conv3_layer, act_type='leaky', slope=0.100000)
conv4_layer = mx.symbol.Convolution(name='conv4_layer', data=conv3_relu_layer, num_filter=128, pad=(0, 0), kernel=(3,3), stride=(1,1), no_bias=False, dilate=(1, 1), num_group=1, layout='NCHW')
conv4_relu_layer = mx.symbol.LeakyReLU(name='conv4_relu_layer', data=conv4_layer, act_type='leaky', slope=0.100000)
conv5_layer = mx.symbol.Convolution(name='conv5_layer', data=conv4_relu_layer, num_filter=128, pad=(0, 0), kernel=(3,3), stride=(1,1), no_bias=False, dilate=(1, 1), num_group=1, layout='NCHW')
conv5_relu_layer = mx.symbol.LeakyReLU(name='conv5_relu_layer', data=conv5_layer, act_type='leaky', slope=0.100000)
conv6_layer = mx.symbol.Convolution(name='conv6_layer', data=conv5_relu_layer, num_filter=256, pad=(0, 0), kernel=(3,3), stride=(1,1), no_bias=False, dilate=(1, 1), num_group=1, layout='NCHW')
conv6_relu_layer = mx.symbol.LeakyReLU(name='conv6_relu_layer', data=conv6_layer, act_type='leaky', slope=0.100000)
conv7_layer = mx.symbol.Deconvolution(name='conv7_layer', data=conv6_relu_layer, num_filter=3, pad=(3, 3), kernel=(4,4), stride=(2,2), no_bias=False, dilate=(1, 1), num_group=1, layout='NCHW')
|
[
"WolframRhodium@users.noreply.github.com"
] |
WolframRhodium@users.noreply.github.com
|
5a793b97cdddcd7a408414d3a47b2683e16bea00
|
dacae380d3c52ae08e666195ead9366b3a7240fc
|
/task1/code/problem1.py
|
45cdc3257b5ab3c22fe05f722861a3ec9bac27a8
|
[] |
no_license
|
wangyu33/UCAS-image-processing-course
|
a879a50907fdae27f66bd28db5be25144951f075
|
a6a8ee17d4e1879c81059c1a56649e6387a9aa89
|
refs/heads/master
| 2020-12-08T13:32:06.855286
| 2020-01-10T15:54:04
| 2020-01-10T15:54:04
| 232,992,838
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,111
|
py
|
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
def scanLine4e(f, I, loc):
#f:gray level image
#I -> int loc -> str
if loc == 'row':
return f[I,:]
if loc == 'column':
return f[:,I]
return '参数错误'
def run(filename):
f = cv2.imread(filename, cv2.IMREAD_GRAYSCALE)
r = np.size(f,0)
c = np.size(f,1)
plt.figure(filename)
plt.imshow(f, cmap = 'gray')
plt.show()
f_r = r//2 #求中心行的index，当行数为偶数时取较大中心行
f_c = c//2 #求中心列的index，当列数为偶数时取较大中心列
r_vector = scanLine4e(f,f_r,'row')
c_vector = scanLine4e(f,f_c,'column')
xr = np.linspace(1,r,r)
xc = np.linspace(1,c,c)
plt.figure()
plt.plot(xc, r_vector, 'bo--', ms = 2, label = 'row pixel')
plt.plot(xr, c_vector, 'ro--', ms = 2, label='column pixel')
plt.legend(loc = 1)
plt.ylabel('pixel value')
plt.title(filename)
plt.show()
def main():
run('cameraman.tif')
run('einstein.tif')
if __name__ == '__main__':
main()
|
[
"1134711093@qq.com"
] |
1134711093@qq.com
|
6150575801b07567ca45d414251a7e4ff526a176
|
6a63b4a189ba65822971ba08b018bf4e6123759a
|
/hunkim-lecture/rnn.py
|
0927dab8238731afe9d5b220b45a5a943765da8f
|
[] |
no_license
|
HyundongHwang/MyMlStudy
|
f2d941cd8d38417fd8fcae020d7f21a613d4cb3f
|
5459639f61c3ab8004900efcd1204a90dd91376f
|
refs/heads/master
| 2021-01-12T02:11:37.087188
| 2018-04-19T13:42:02
| 2018-04-19T13:42:02
| 78,484,938
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 93
|
py
|
import tensorflow as tf
from tensorflow.models.rnn import rnn, rnn_cell
import numpy as numpy
|
[
"hhd2002@gmail.com"
] |
hhd2002@gmail.com
|
11fd12954e27d2a0cf6c67fed24d94c229077b0d
|
867fe9e56d801d14af1cf13077e246b80cede6a7
|
/stoys/spark/dp/dp_result.py
|
264c4fa45d19bc7297ef4f24a06befa2ee3e9deb
|
[
"Apache-2.0"
] |
permissive
|
stoys-io/stoys-python
|
f3bb0925f875d95909f9944b7438c8d27112653d
|
c2095ff74152690b1d8ea799c5bc8910a71921fb
|
refs/heads/main
| 2023-08-31T01:17:05.312755
| 2021-10-27T09:27:33
| 2021-10-27T09:27:33
| 420,110,606
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,238
|
py
|
from typing import Dict, List, Optional
from ...utils.case_class import CaseClassMirror, case_class_mirror
@case_class_mirror("io.stoys.spark.dp.DpPmfBucket")
class DpPmfBucket(CaseClassMirror):
low: float
high: float
count: int
@case_class_mirror("io.stoys.spark.dp.DpItem")
class DpItem(CaseClassMirror):
item: str
count: int
@case_class_mirror("io.stoys.spark.dp.DpColumn")
class DpColumn(CaseClassMirror):
name: str
data_type: str
data_type_json: str
nullable: bool
enum_values: List[str]
format: Optional[str]
count: int
count_empty: Optional[int]
count_nulls: Optional[int]
count_unique: Optional[int]
count_zeros: Optional[int]
max_length: Optional[int]
min: Optional[str]
max: Optional[str]
mean: Optional[float]
pmf: List[DpPmfBucket]
items: List[DpItem]
extras: Dict[str, str]
@case_class_mirror("io.stoys.spark.dp.DpTable")
class DpTable(CaseClassMirror):
rows: int
@case_class_mirror("io.stoys.spark.dp.DpResult")
class DpResult(CaseClassMirror):
table: DpTable
columns: List[DpColumn]
def _repr_html_(self) -> str:
from ...ui.dp_ui import dp_result_to_html
return dp_result_to_html(self)
|
[
"jendap@gmail.com"
] |
jendap@gmail.com
|
f253bf0380287d0b75e4c949fe2cf669e820ae24
|
94c7bcc7fa0749ef3890af6dac39341c14f5d259
|
/tensorflow/python/eager/tensor_test.py
|
b044b30231603b0265aa1ef0320e9f1cfb303724
|
[
"Apache-2.0"
] |
permissive
|
lgeiger/tensorflow
|
e75e32cd23a45d29bac1fc10eda23499a66d188a
|
1bf9ec7f8545c7aa6fa915c6576a3b984af59ded
|
refs/heads/master
| 2023-08-18T23:16:38.380820
| 2018-04-26T20:47:51
| 2018-04-26T20:47:51
| 127,307,734
| 2
| 1
|
Apache-2.0
| 2018-03-29T15:02:37
| 2018-03-29T15:02:36
| null |
UTF-8
|
Python
| false
| false
| 12,165
|
py
|
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Unit tests for TensorFlow "Eager" Mode's Tensor class."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
import re
import numpy as np
from tensorflow.python import pywrap_tensorflow
from tensorflow.python.eager import context
from tensorflow.python.eager import core
from tensorflow.python.eager import test
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import test_util
def _create_tensor(value, device=None, dtype=None):
ctx = context.context()
if device is None:
device = ctx.device_name
if dtype is not None:
dtype = dtype.as_datatype_enum
try:
return ops.EagerTensor(
value, context=ctx._handle, device=device, dtype=dtype)
except core._NotOkStatusException as e: # pylint: disable=protected-access
raise core._status_to_exception(e.code, e.message)
class TFETensorTest(test_util.TensorFlowTestCase):
def testScalarTensor(self):
t = _create_tensor(3, dtype=dtypes.int32)
self.assertAllEqual(t, _create_tensor(np.array(3)))
self.assertEqual(dtypes.int32, t.dtype)
self.assertEqual(0, t.shape.ndims)
self.assertAllEqual([], t.shape.as_list())
self.assertIn("tf.Tensor", str(t))
self.assertIn("tf.Tensor", repr(t))
def testBadConstructorArgs(self):
ctx = context.context()
handle = ctx._handle
device = ctx.device_name
# Missing context.
with self.assertRaisesRegexp(
TypeError, r"Required argument 'context' \(pos 2\) not found"):
ops.EagerTensor(1, device=device)
# Missing device.
with self.assertRaisesRegexp(
TypeError, r"Required argument 'device' \(pos 3\) not found"):
ops.EagerTensor(1, context=handle)
# Bad dtype type.
with self.assertRaisesRegexp(TypeError,
"Expecting a DataType value for dtype. Got"):
ops.EagerTensor(1, context=handle, device=device, dtype="1")
# Following errors happen when trying to copy to GPU.
if not context.context().num_gpus():
self.skipTest("No GPUs found")
with ops.device("/device:GPU:0"):
device = ctx.device_name
# Bad context.
with self.assertRaisesRegexp(
TypeError, "Expecting a PyCapsule encoded context handle. Got"):
ops.EagerTensor(1.0, context=1, device=device)
# Bad device.
with self.assertRaisesRegexp(
TypeError, "Error parsing device argument to CopyToDevice"):
ops.EagerTensor(1.0, context=handle, device=1)
def testNumpyValue(self):
values = np.array([3.0])
t = _create_tensor(values)
self.assertAllEqual(values, t)
def testNumpyValueWithCast(self):
values = np.array([3.0], dtype=np.float32)
t = _create_tensor(values, dtype=dtypes.float64)
self.assertAllEqual(values, t)
ctx = context.context()
# Bad dtype value.
with self.assertRaisesRegexp(TypeError, "Invalid dtype argument value"):
ops.EagerTensor(
values, context=ctx._handle, device=ctx.device_name, dtype=12345)
def testNumpyOrderHandling(self):
n = np.array([[1, 2], [3, 4]], order="F")
t = _create_tensor(n)
self.assertAllEqual([[1, 2], [3, 4]], t)
def testNumpyArrayDtype(self):
tensor = constant_op.constant([1.0, 2.0, 3.0])
numpy_tensor = np.asarray(tensor, dtype=np.int32)
self.assertAllEqual(numpy_tensor, [1, 2, 3])
def testNdimsAgreesWithNumpy(self):
numpy_tensor = np.asarray(1.0)
tensor = constant_op.constant(numpy_tensor)
self.assertAllEqual(numpy_tensor.ndim, tensor.ndim)
numpy_tensor = np.asarray([1.0, 2.0, 3.0])
tensor = constant_op.constant(numpy_tensor)
self.assertAllEqual(numpy_tensor.ndim, tensor.ndim)
numpy_tensor = np.asarray([[1.0, 2.0, 3.0], [1.0, 2.0, 3.0]])
tensor = constant_op.constant(numpy_tensor)
self.assertAllEqual(numpy_tensor.ndim, tensor.ndim)
def testCopy(self):
t = constant_op.constant(1.0)
tt = copy.copy(t)
self.assertAllEqual(tt, 1.0)
del tt
tt = copy.deepcopy(t)
self.assertAllEqual(tt, 1.0)
del tt
self.assertAllEqual(t, 1.0)
def testConstantDtype(self):
self.assertEqual(constant_op.constant(1.0, dtype=np.int64).dtype,
dtypes.int64)
def testTensorAndNumpyMatrix(self):
expected = np.array([[1.0, 2.0], [3.0, 4.0]], np.float32)
actual = _create_tensor([[1.0, 2.0], [3.0, 4.0]])
self.assertAllEqual(expected, actual)
self.assertEqual(np.float32, actual.dtype)
self.assertEqual(dtypes.float32, actual.dtype)
self.assertAllEqual([2, 2], actual.shape.as_list())
def testFloatDowncast(self):
# Unless explicitly specified, float64->float32
t = _create_tensor(3.0)
self.assertEqual(dtypes.float32, t.dtype)
t = _create_tensor(3.0, dtype=dtypes.float64)
self.assertEqual(dtypes.float64, t.dtype)
def testBool(self):
t = _create_tensor(False)
if t:
self.assertFalse(True)
def testIntDowncast(self):
t = _create_tensor(3)
self.assertEqual(dtypes.int32, t.dtype)
t = _create_tensor(3, dtype=dtypes.int64)
self.assertEqual(dtypes.int64, t.dtype)
t = _create_tensor(2**33)
self.assertEqual(dtypes.int64, t.dtype)
def testTensorCreationFailure(self):
with self.assertRaises(ValueError):
# Should fail because the each row of the Python object has a different
# number of columns.
self.assertEqual(None, _create_tensor([[1], [1, 2]]))
def testMultiLineTensorStr(self):
t = _create_tensor(np.eye(3))
tensor_str = str(t)
self.assertIn("shape=%s, dtype=%s" % (t.shape, t.dtype.name), tensor_str)
self.assertIn(str(t), tensor_str)
def testMultiLineTensorRepr(self):
t = _create_tensor(np.eye(3))
tensor_repr = repr(t)
self.assertTrue(tensor_repr.startswith("<"))
self.assertTrue(tensor_repr.endswith(">"))
self.assertIn("id=%d, shape=%s, dtype=%s, numpy=\n%r" %
(t._id, t.shape, t.dtype.name, t.numpy()), tensor_repr)
def testTensorStrReprObeyNumpyPrintOptions(self):
orig_threshold = np.get_printoptions()["threshold"]
orig_edgeitems = np.get_printoptions()["edgeitems"]
np.set_printoptions(threshold=2, edgeitems=1)
t = _create_tensor(np.arange(10, dtype=np.int32))
self.assertTrue(re.match(r".*\[.*0.*\.\.\..*9.*\]", str(t)))
self.assertTrue(re.match(r".*\[.*0.*\.\.\..*9.*\]", repr(t)))
# Clean up: reset to previous printoptions.
np.set_printoptions(threshold=orig_threshold, edgeitems=orig_edgeitems)
def testZeroDimTensorStr(self):
t = _create_tensor(42)
self.assertIn("42, shape=(), dtype=int32", str(t))
def testZeroDimTensorRepr(self):
t = _create_tensor(42)
self.assertTrue(repr(t).startswith("<"))
self.assertTrue(repr(t).endswith(">"))
self.assertIn("id=%d, shape=(), dtype=int32, numpy=42" % t._id, repr(t))
def testZeroSizeTensorStr(self):
t = _create_tensor(np.zeros(0, dtype=np.float32))
self.assertIn("[], shape=(0,), dtype=float32", str(t))
def testZeroSizeTensorRepr(self):
t = _create_tensor(np.zeros(0, dtype=np.float32))
self.assertTrue(repr(t).startswith("<"))
self.assertTrue(repr(t).endswith(">"))
self.assertIn("id=%d, shape=(0,), dtype=float32, numpy=%r" % (t._id,
t.numpy()),
repr(t))
def testStringTensor(self):
t_np_orig = np.array([[b"a", b"ab"], [b"abc", b"abcd"]])
t = _create_tensor(t_np_orig)
t_np = t.numpy()
self.assertTrue(np.all(t_np == t_np_orig), "%s vs %s" % (t_np, t_np_orig))
def testIterateOverTensor(self):
l = [[1, 2], [3, 4]]
t = _create_tensor(l)
for list_element, tensor_element in zip(l, t):
self.assertAllEqual(list_element, tensor_element.numpy())
def testStringTensorOnGPU(self):
if not context.context().num_gpus():
self.skipTest("No GPUs found")
with ops.device("/device:GPU:0"):
with self.assertRaisesRegexp(
RuntimeError, "Can't copy Tensor with type string to device"):
_create_tensor("test string")
class TFETensorUtilTest(test_util.TensorFlowTestCase):
def testListOfThree(self):
t1 = _create_tensor([[1, 2], [3, 4], [5, 6]], dtype=dtypes.int32)
t2 = _create_tensor([[1, 2, 5], [3, 4, 5]], dtype=dtypes.int32)
t3 = _create_tensor([[1], [3], [5], [6]], dtype=dtypes.int32)
r = pywrap_tensorflow.TFE_Py_TensorShapeSlice([t1, t2, t3], 0)
self.assertAllEqual(np.array([3, 2, 4]), r.numpy())
r = pywrap_tensorflow.TFE_Py_TensorShapeSlice([t1, t2, t3], 1)
self.assertAllEqual(np.array([2, 3, 1]), r.numpy())
def testEmptyTensorList(self):
a = pywrap_tensorflow.TFE_Py_TensorShapeSlice([], 0)
self.assertTrue(isinstance(a, ops.EagerTensor))
self.assertEqual(0, a.numpy().size)
def testTensorListContainsNonTensors(self):
t1 = _create_tensor([1, 2], dtype=dtypes.int32)
with self.assertRaisesRegexp(
TypeError,
r"Expected a list of EagerTensors but element 1 has type \"str\""):
pywrap_tensorflow.TFE_Py_TensorShapeSlice([t1, "abc"], 0)
with self.assertRaisesRegexp(
TypeError,
r"Expected a list of EagerTensors but element 0 has type \"int\""):
pywrap_tensorflow.TFE_Py_TensorShapeSlice([2, t1], 0)
def testTensorListNotList(self):
t1 = _create_tensor([1, 2], dtype=dtypes.int32)
with self.assertRaisesRegexp(
TypeError,
r"tensors argument must be a list or a tuple. Got \"EagerTensor\""):
pywrap_tensorflow.TFE_Py_TensorShapeSlice(t1, -2)
def testNegativeSliceDim(self):
t1 = _create_tensor([1, 2], dtype=dtypes.int32)
with self.assertRaisesRegexp(
ValueError,
r"Slice dimension must be non-negative. Got -2"):
pywrap_tensorflow.TFE_Py_TensorShapeSlice([t1], -2)
def testUnicode(self):
self.assertEqual(constant_op.constant(u"asdf").numpy(), b"asdf")
def testSliceDimOutOfRange(self):
t1 = _create_tensor([[1, 2], [3, 4], [5, 6]], dtype=dtypes.int32)
t2 = _create_tensor([1, 2], dtype=dtypes.int32)
t3 = _create_tensor(2, dtype=dtypes.int32)
with self.assertRaisesRegexp(
IndexError,
r"Slice dimension \(2\) must be smaller than rank of all tensors, "
"but tensor at index 0 has rank 2"):
pywrap_tensorflow.TFE_Py_TensorShapeSlice([t1], 2)
with self.assertRaisesRegexp(
IndexError,
r"Slice dimension \(1\) must be smaller than rank of all tensors, "
"but tensor at index 0 has rank 1"):
pywrap_tensorflow.TFE_Py_TensorShapeSlice([t2], 1)
with self.assertRaisesRegexp(
IndexError,
r"Slice dimension \(1\) must be smaller than rank of all tensors, "
"but tensor at index 1 has rank 1"):
pywrap_tensorflow.TFE_Py_TensorShapeSlice([t1, t2], 1)
with self.assertRaisesRegexp(
IndexError,
r"Slice dimension \(0\) must be smaller than rank of all tensors, "
"but tensor at index 0 has rank 0"):
pywrap_tensorflow.TFE_Py_TensorShapeSlice([t3], 0)
with self.assertRaisesRegexp(
IndexError,
r"Slice dimension \(0\) must be smaller than rank of all tensors, "
"but tensor at index 2 has rank 0"):
pywrap_tensorflow.TFE_Py_TensorShapeSlice([t2, t1, t3], 0)
if __name__ == "__main__":
test.main()
|
[
"gardener@tensorflow.org"
] |
gardener@tensorflow.org
|
f1ff22df803d0c4e27d17a93539483aaf02c1abd
|
60cd30b5c72ec7f6ce3b2d2f6582382c296d64f5
|
/src/docker/captum_xil/captum/attr/_utils/batching.py
|
95f73d00573182acb849f43cb4b98094a2cb1537
|
[
"BSD-3-Clause",
"MIT"
] |
permissive
|
ml-research/NeSyXIL
|
5d4ed971f471f73191c1074928524ffd19521630
|
8a8b2a5e2c8ce57ec73d68ca76d4d95a65530cdd
|
refs/heads/main
| 2023-05-31T03:02:34.421669
| 2021-06-22T09:14:35
| 2021-06-22T09:14:35
| 344,822,398
| 27
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 6,156
|
py
|
#!/usr/bin/env python3
import typing
from typing import Any, Callable, Dict, Iterator, List, Tuple, Union
import torch
from torch import Tensor, device
from .common import _format_additional_forward_args, _format_input
from .typing import (
TargetType,
TensorOrTupleOfTensorsGeneric,
TupleOrTensorOrBoolGeneric,
)
@typing.overload
def _tuple_splice_range(inputs: None, start: int, end: int) -> None:
...
@typing.overload
def _tuple_splice_range(inputs: Tuple, start: int, end: int) -> Tuple:
...
def _tuple_splice_range(
inputs: Union[None, Tuple], start: int, end: int
) -> Union[None, Tuple]:
"""
Splices each tensor element of given tuple (inputs) from range start
(inclusive) to end (non-inclusive) on its first dimension. If element
is not a Tensor, it is left unchanged. It is assumed that all tensor elements
have the same first dimension (corresponding to number of examples).
The returned value is a tuple with the same length as inputs, with Tensors
spliced appropriately.
"""
assert start < end, "Start point must precede end point for batch splicing."
if inputs is None:
return None
return tuple(
inp[start:end] if isinstance(inp, torch.Tensor) else inp for inp in inputs
)
def _reduce_list(
val_list: List[TupleOrTensorOrBoolGeneric],
red_func: Callable[[List], Any] = torch.cat,
) -> TupleOrTensorOrBoolGeneric:
"""
Applies reduction function to given list. If each element in the list is
a Tensor, applies reduction function to all elements of the list, and returns
the output Tensor / value. If each element is a boolean, apply any method (or).
If each element is a tuple, applies reduction
function to corresponding elements of each tuple in the list, and returns
tuple of reduction function outputs with length matching the length of tuple
val_list[0]. It is assumed that all tuples in the list have the same length
and red_func can be applied to all elements in each corresponding position.
"""
if isinstance(val_list[0], torch.Tensor):
return red_func(val_list)
elif isinstance(val_list[0], bool):
return any(val_list)
elif isinstance(val_list[0], tuple):
final_out = []
for i in range(len(val_list[0])):
final_out.append(
_reduce_list([val_elem[i] for val_elem in val_list], red_func)
)
else:
raise AssertionError(
"Elements to be reduced can only be"
"either Tensors or tuples containing Tensors."
)
return tuple(final_out)
def _sort_key_list(
keys: List[device], device_ids: Union[None, List[int]] = None
) -> List[device]:
"""
Sorts list of torch devices (keys) by given index list, device_ids. If keys
contains only one device, then the list is returned unchanged. If keys
contains a device for which the id is not contained in device_ids, then
an error is returned. This method is used to identify the order of DataParallel
batched devices, given the device ID ordering.
"""
if len(keys) == 1:
return keys
id_dict: Dict[int, device] = {}
assert device_ids is not None, "Device IDs must be provided with multiple devices."
for key in keys:
if key.index in id_dict:
raise AssertionError("Duplicate CUDA Device ID identified in device list.")
id_dict[key.index] = key
out_list = [
id_dict[device_id]
for device_id in filter(lambda device_id: device_id in id_dict, device_ids)
]
assert len(out_list) == len(keys), "Given Device ID List does not match"
"devices with computed tensors."
return out_list
def _batched_generator(
inputs: TensorOrTupleOfTensorsGeneric,
additional_forward_args: Any = None,
target_ind: TargetType = None,
internal_batch_size: Union[None, int] = None,
) -> Iterator[Tuple[Tuple[Tensor, ...], Any, TargetType]]:
"""
Returns a generator which returns corresponding chunks of size internal_batch_size
for both inputs and additional_forward_args. If batch size is None,
generator only includes original inputs and additional args.
"""
assert internal_batch_size is None or (
isinstance(internal_batch_size, int) and internal_batch_size > 0
), "Batch size must be greater than 0."
inputs = _format_input(inputs)
additional_forward_args = _format_additional_forward_args(additional_forward_args)
num_examples = inputs[0].shape[0]
if internal_batch_size is None:
yield inputs, additional_forward_args, target_ind
else:
for current_total in range(0, num_examples, internal_batch_size):
yield _tuple_splice_range(
inputs, current_total, current_total + internal_batch_size
), _tuple_splice_range(
additional_forward_args,
current_total,
current_total + internal_batch_size,
), target_ind[
current_total : current_total + internal_batch_size
] if isinstance(
target_ind, list
) or (
isinstance(target_ind, torch.Tensor) and target_ind.numel() > 1
) else target_ind
def _batched_operator(
operator: Callable[..., TupleOrTensorOrBoolGeneric],
inputs: TensorOrTupleOfTensorsGeneric,
additional_forward_args: Any = None,
target_ind: TargetType = None,
internal_batch_size: Union[None, int] = None,
**kwargs: Any
) -> TupleOrTensorOrBoolGeneric:
"""
Batches the operation of the given operator, applying the given batch size
to inputs and additional forward arguments, and returning the concatenation
of the results of each batch.
"""
all_outputs = [
operator(
inputs=input,
additional_forward_args=additional,
target_ind=target,
**kwargs
)
for input, additional, target in _batched_generator(
inputs, additional_forward_args, target_ind, internal_batch_size
)
]
return _reduce_list(all_outputs)
|
[
"wolf.stammer@gmail.com"
] |
wolf.stammer@gmail.com
|
d45ad25902bd3e9e3fa1fee12604c394fd94e1bb
|
9fc117f03eb6b31754c977569d8cb734ce7e0838
|
/game_app_test.py
|
0523a3d0b2d7027e2604ad3b5bb8c0e145cbd6d7
|
[] |
no_license
|
Kristina970/number_game
|
dd39fad033fdc60ab4a8c01623a909beb02cd93e
|
affc406ed17094adc9a8981b7f243d59ddbc529f
|
refs/heads/master
| 2023-02-07T13:22:07.181855
| 2019-07-26T19:02:11
| 2019-07-26T19:02:11
| 196,609,961
| 0
| 2
| null | 2023-02-02T06:37:27
| 2019-07-12T16:18:06
|
Python
|
UTF-8
|
Python
| false
| false
| 269
|
py
|
import unittest
from app import app
class TestHealthEndpoint(unittest.TestCase):
def setUp(self):
self.app = app.test_client()
def test_main_page(self):
response = self.app.get('/_health')
self.assertEqual(response.status_code, 200)
|
[
"khrystyna.mashchakevych@gmail.com"
] |
khrystyna.mashchakevych@gmail.com
|
ffcc17620f863bc72cd9ed5d01959bd7b8f7b8b0
|
27a85a93fe67c8712dba8f2dc936d3f473daee0f
|
/Week 4/Problem_D.py
|
93b78b547b32ee8a82fd6a21a39aa86a01aadb67
|
[] |
no_license
|
thiaguin/Algorithms
|
472f6653631118ca333dd8a5703fece96d203038
|
ac51428ae2e6b09e8a205abc69d760846c0e7a39
|
refs/heads/master
| 2023-01-23T00:01:42.196935
| 2020-12-05T03:27:45
| 2020-12-05T03:27:45
| 292,856,685
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 467
|
py
|
# Title -> Heidi Learns Hashing (Easy)
# Description -> codeforces.com/problemset/problem/1184/A1
import math
n = input()
def getResult(n):
sqrt = int(math.ceil(math.sqrt(n)))
for i in range(1, sqrt):
dividend = n - (i * i) - i - 1
divider = 2 * i
result = float(dividend) / float(divider)
if (result.is_integer() and result > 0):
return str(i) + ' ' + str(int(result))
return 'NO'
print(getResult(n))
|
[
"jose.thiago.silva@ccc.ufcg.edu.br"
] |
jose.thiago.silva@ccc.ufcg.edu.br
|
8ff67afb0b28cd776740c8eae4137cf860e8d599
|
498f2cdfd279c13028835b7dcc7d1d4e3b854f4d
|
/0x0B-python-input_output/9-add_item.py
|
459790e8bedd0a07b832a72db522a48d41f01954
|
[] |
no_license
|
Cristiand187/holbertonschool-higher_level_programming
|
bf29d3a9bc6617fe4b51e5fc70c8f4dfc2054da5
|
0e70aaffd89bd0ef353487be227a62b0a8006cea
|
refs/heads/master
| 2022-12-25T11:03:42.877379
| 2020-09-25T04:00:28
| 2020-09-25T04:00:28
| 259,311,171
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 643
|
py
|
#!/usr/bin/python3
"""Module"""
from sys import argv
from pathlib import Path
save_to_json_file = __import__('7-save_to_json_file').save_to_json_file
load_from_json_file = __import__('8-load_from_json_file').load_from_json_file
def add_item(argument):
"""[summary]
Arguments:
argument {[type]} -- [description]
"""
filename = 'add_item.json'
if Path(filename).is_file():
my_list = load_from_json_file(filename)
else:
my_list = []
for elem in range(1, len(argv)):
my_list.append(argv[elem])
save_to_json_file(my_list, filename)
if __name__ == "__main__":
add_item(argv)
|
[
"cristiand187@hotmail.com"
] |
cristiand187@hotmail.com
|
31ddd336e912065ab635606a27461410d2e59bfa
|
2562d3a102af3a7e590b28b0d388aaf980edcd97
|
/Leetcode/SameTree.py
|
faf271b08993845978463e91a798b5df5c8201ce
|
[] |
no_license
|
svidyart/PracticeCode
|
16bc3565d4b0cfc383aad144b6fe70310b55840d
|
8b03977d606fa4c82039003a3e3e1affd83fb75e
|
refs/heads/master
| 2021-01-19T06:46:45.673755
| 2016-08-09T17:46:48
| 2016-08-09T17:46:48
| 65,315,509
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,061
|
py
|
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
def isSameTree(self, p, q):
"""
:type p: TreeNode
:type q: TreeNode
:rtype: bool
"""
if(p is None and q is None):
return True
elif(p is None or q is None):
return False
if(p.val == q.val):
if(p.left is not None and q.left is not None):
temp = self.isSameTree(p.left, q.left)
if(temp is False):
return temp
elif(p.left is not None or q.left is not None):
return False
if(p.right is not None and q.right is not None):
return self.isSameTree(p.right, q.right)
elif(p.right is not None or q.right is not None):
return False
else:
return True
else:
return False
|
[
"shreyasvidyarthi@gmail.com"
] |
shreyasvidyarthi@gmail.com
|
dff8cc56d809d8c84abb02cc259038f50b9df3a3
|
0b09998b42dfb3d0e076a6c46b2d754f646e6123
|
/App/UI/UserType.py
|
1012dcec5ffa4ecdb6326700dbfe83e08a807d5b
|
[] |
no_license
|
BackendBoys-ISS/issrepo
|
6b75a1de7aadb9aa891c17cabd4072237ebdd98a
|
2c92ada314666896e278a4ef49d7be73d205ce21
|
refs/heads/master
| 2021-03-26T16:21:06.080950
| 2020-06-02T22:04:10
| 2020-06-02T22:04:10
| 247,722,093
| 0
| 0
| null | 2020-05-05T16:14:30
| 2020-03-16T14:22:29
|
Python
|
UTF-8
|
Python
| false
| false
| 256
|
py
|
class UserType:
def __init__(self, isOnlyAuthor: bool, isSpeaker: bool, isListener: bool, username: str):
self.isOnlyAuthor = isOnlyAuthor
self.isSpeaker = isSpeaker
self.isListener = isListener
self.username = username
|
[
"balinthandrei@gmail.com"
] |
balinthandrei@gmail.com
|
87ff388116d605759736aa8c0f0378c093a73c0d
|
e6f9db4cf4913a19f243327329b31485de8da8fe
|
/GUI/clientRecvCommPage.py
|
4a8974b3539cbf234200e3b2d09b3c895ec73179
|
[] |
no_license
|
KareemElozeiri/pythonReverseShell
|
9c55fbc9e7b63e027dee824ff11cb721cb90d767
|
46f78d2d8052fb5508dbc38e44ab6482caed76d5
|
refs/heads/master
| 2022-06-10T00:47:23.128829
| 2022-06-01T18:06:52
| 2022-06-01T18:06:52
| 189,889,876
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,194
|
py
|
from kivy.clock import Clock
from kivy.uix.screenmanager import Screen
from kivy.uix.label import Label
from kivy.uix.button import Button
from kivy.uix.textinput import TextInput
from kivy.uix.gridlayout import GridLayout
from kivy.core.window import Window
from scrollableLabel import ScrollableLabel
import os
import socket
#this page is the page is supposed to display the commands sent by the server and
#displays their response and in its core the ClientReverseShell will perform its function(executing the commnand on the client machine)
class ClientRecvCommPage(GridLayout):
def __init__(self,MainApp,**kwargs):
super().__init__(**kwargs)
self.MainApp = MainApp
self.cols = 1
self.pageHead = Label(text="The commands sent to your machine")
self.CommAndRes = ScrollableLabel()
self.add_widget(self.pageHead)
self.add_widget(self.CommAndRes)
def recvAndExecComm(self):
while self.MainApp.gui_running:
try:
self.MainApp.client.exec_command()
if self.MainApp.client.comm_to_exec != "pwd":
self.CommAndRes.updateContent(f"\n[color=00FF00]{os.getcwd()}${self.MainApp.client.comm_to_exec}[/color]\n[color=FF0000]{self.MainApp.client.comm_res}[/color]")
except ValueError:
self.MainApp.client.sock.close()
self.pageHead.text = "The server may have been shut down"
self.returnToConnectPageUsingButton()
break
except socket.error as err :
err_msg = f"Networking error: {err}"
print(err_msg)
self.pageHead.text = err_msg
self.returnToConnectPageUsingButton()
def returnToConnectPageUsingButton(self):
#adding a button to return back to the prev page using it
returnButton = Button(text="Return to connect page")
def returnButtonFunc(*_):
self.MainApp.screen_manager.remove_widget(self.MainApp.screen)
self.MainApp.screen_manager.current = "ClientConnectToServer"
returnButton.bind(on_press=returnButtonFunc)
self.add_widget(returnButton)
|
[
"k.elozeiri@gmail.com"
] |
k.elozeiri@gmail.com
|
96afd9352f0dbd99372abcdb178f7d1bea36dcbe
|
2f22609355aa0f2bf69a26b24fa80d818ecc7cbe
|
/PYHcsc/pachong/text3.py
|
cb8449bd6d8d9370fb57f24931ab8879ccd14522
|
[] |
no_license
|
mgGummy/PYH
|
d5c809ca9dfa408fbafd6f03c4fdf2dec5f78de0
|
5dbb367126504d532bca95850261d44a474867e3
|
refs/heads/master
| 2023-04-21T17:58:31.739241
| 2021-04-20T03:41:19
| 2021-04-20T03:41:19
| 343,682,555
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 659
|
py
|
#-*- codeing = utf-8 -*-
#@Time : 2021/3/28 10:54
#@Author : cscnb
#@File : text3.py
#@Software : PyCharm
#KFC地点
import requests
if __name__ == '__main__':
url = 'http://www.kfc.com.cn/kfccda/ashx/GetStoreList.ashx?op=keyword'
data = {
'cname':'',
'pid':'',
'keyword': '深圳',
'pageIndex': '1',
'pageSize': '10'
}
#UA伪装
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.90 Safari/537.36 Edg/89.0.774.56'
}
re=requests.post(url=url,data=data,headers=headers)
re_text=re.text
print(re_text)
|
[
"74232718+mgGummy@users.noreply.github.com"
] |
74232718+mgGummy@users.noreply.github.com
|
41a37ac6032938be9a1bea9a1c62660c9002a43d
|
6e27704230e25b2a34d43e4247e7ebd343998a3c
|
/rando_project/rando_project/settings.py
|
d32acbc7a62a8552ee319c5aed9c0b6fa504299e
|
[] |
no_license
|
C432/djangoProjects
|
9b3437a49829a9f3c9378be9987fd0f91b3b908c
|
81e0826f2f26c22dfe652b8af3460f43a9a233cb
|
refs/heads/master
| 2020-03-11T05:45:05.582509
| 2018-04-16T22:24:46
| 2018-04-16T22:24:46
| 129,811,857
| 0
| 3
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,137
|
py
|
"""
Django settings for rando_project project.
Generated by 'django-admin startproject' using Django 1.10.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.10/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.10/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'h5ram1ap#^x$swf9o!==ukdxq6#v5v&9k1g#dd)ivcjrb=a1f_'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'apps.rando_app',
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'rando_project.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'rando_project.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.10/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Password validation
# https://docs.djangoproject.com/en/1.10/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/1.10/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.10/howto/static-files/
STATIC_URL = '/static/'
|
[
"rclewis432@gmail.com"
] |
rclewis432@gmail.com
|
bb54c000d01fac6c0780980db160d50201e59a2a
|
94833ddcca6fbcabdb49a13c7e79df37378265c4
|
/exercismdotio/python/etl/etl_test.py
|
eb9d5e07e3985ce07f49f447886dc8d4bceded8a
|
[] |
no_license
|
asweigart/blankeditor
|
adc1a9e4372917c70c968e1ea72b3869112d81a3
|
461189a3e1e7d585b76e031d075fe3802f3aa391
|
refs/heads/master
| 2023-03-16T22:51:19.220898
| 2017-01-24T04:27:56
| 2017-01-24T04:27:56
| 69,526,062
| 5
| 3
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,343
|
py
|
import unittest
import etl
class TransformTest(unittest.TestCase):
def test_transform_one_value(self):
old = {1: ['WORLD']}
expected = {'world': 1}
self.assertEqual(expected, etl.transform(old))
def test_transform_more_values(self):
old = {1: ['WORLD', 'GSCHOOLERS']}
expected = {'world': 1, 'gschoolers': 1}
self.assertEqual(expected, etl.transform(old))
def test_more_keys(self):
old = {1: ['APPLE', 'ARTICHOKE'], 2: ['BOAT', 'BALLERINA']}
expected = {
'apple': 1,
'artichoke': 1,
'boat': 2,
'ballerina': 2
}
self.assertEqual(expected, etl.transform(old))
def test_full_dataset(self):
old = {
1: "AEIOULNRST",
2: "DG",
3: "BCMP",
4: "FHVWY",
5: "K",
8: "JX",
10: "QZ",
}
expected = {
"a": 1, "b": 3, "c": 3, "d": 2, "e": 1,
"f": 4, "g": 2, "h": 4, "i": 1, "j": 8,
"k": 5, "l": 1, "m": 3, "n": 1, "o": 1,
"p": 3, "q": 10, "r": 1, "s": 1, "t": 1,
"u": 1, "v": 4, "w": 4, "x": 8, "y": 4,
"z": 10
}
self.assertEqual(expected, etl.transform(old))
if __name__ == '__main__':
unittest.main()
|
[
"asweigart@gmail.com"
] |
asweigart@gmail.com
|
fb67ebc3453d08b20826ff1882cc8e5977c08014
|
83f276845d5069712bfd32841b9560bb552e977a
|
/functions/register.py
|
8b879b004ff266d1f80585bb7a38d7a5b3360694
|
[] |
no_license
|
ydishxjehzkudid/tg-botnet
|
16d31ce39cabe3c91016a590c26d4d13c36f7e0c
|
6bfd858924ab24aedbe0625afa8254912851ac76
|
refs/heads/main
| 2023-07-28T23:29:08.044055
| 2021-09-11T15:22:05
| 2021-09-11T15:22:05
| 405,234,320
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 433
|
py
|
from telethon.sync import TelegramClient
import os, sys
def main(api_id, api_hash):
phone = input("phone number ➜ ")
session = str(len(os.listdir("sessions")) + 1)
client = TelegramClient(session,
api_id, api_hash)
print("Sending verify code...")
client.sign_in(phone)
code = input("verify code ➜ ")
client.sign_in(phone, code)
return os.execl(sys.executable,
sys.executable, *sys.argv)
|
[
"noreply@github.com"
] |
ydishxjehzkudid.noreply@github.com
|
ef883e6bac67ab38649f0173426af4fe3e11d8a8
|
17bac9555fa83a4ca2f592a11096d7fecc3ec61f
|
/OSMKerasEnsemble.py
|
531cc70567f5f5c4e769eb458f6ecb3af04098b2
|
[
"MIT"
] |
permissive
|
kellerberrin/OSM-QSAR
|
84f2be9bb22a5fa5e4970e84860af4673d00cb1c
|
3cdc411ee3f9a3cea178898171e0a57fb5282e40
|
refs/heads/master
| 2021-01-19T21:28:48.561869
| 2017-06-03T07:06:21
| 2017-06-03T07:06:21
| 82,504,529
| 2
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 8,244
|
py
|
# MIT License
#
# Copyright (c) 2017
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NON INFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
#
#
# Python 2 and Python 3 compatibility imports.
from __future__ import absolute_import, division, print_function, unicode_literals
from six import with_metaclass
import copy
import sys
import os
import numpy as np
from sklearn.utils import shuffle
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Dropout
from keras.layers import normalization, BatchNormalization
from keras.regularizers import l2, l1_l2
from keras.layers.noise import GaussianDropout, GaussianNoise
from keras.models import load_model
from keras.constraints import maxnorm
from keras.optimizers import SGD, Adam, Adagrad, Adadelta
from keras.utils import np_utils
#from keras.utils.visualize_util import plot
import keras.backend as backend
from OSMBase import ModelMetaClass # The virtual model class.
from OSMKerasBase import KerasClassifier
from OSMKerasDragon import KlassBinaryDragon, KlassIonDragon, TruncIonDragon
from OSMKerasFingerprint import KlassIonMaccs, KlassIonMorgan, KlassBinaryMorgan
from OSMKerasCoulomb import CoulombMatrix, CoulombConvolution
from OSMModelData import OSMModelData
from OSMSKLearnClassify import OSMSKLearnLOGC, OSMSKLearnNBC # All The SKLearn Classifiers for the meta NN
# ================================================================================================
# A meta pattern classifier, everything and the kitchen sink, used for model development.
# ================================================================================================
class EnsembleSequential(with_metaclass(ModelMetaClass, KerasClassifier)):
def __init__(self, args, log):
super(EnsembleSequential, self).__init__(args, log)
# Define the model data view.
# Define the model variable types here. Documented in "OSMModelData.py".
self.arguments = {"DEPENDENT": {"VARIABLE": "ION_ACTIVITY", "SHAPE": [3], "TYPE": OSMModelData.CLASSES}
, "INDEPENDENT": [{"VARIABLE": "DRAGON", "SHAPE": [1666], "TYPE": OSMModelData.FLOAT64} ] }
self.ensembles = self.model_define_ensemble(args, log)
def model_define_ensemble(self, args, log):
ensemble_file_list = [ { "File": "Run1", "Epochs" : 400 },
{"File": "Run2", "Epochs": 260},
{"File": "Run3", "Epochs": 220},
{"File": "Run4", "Epochs": 220},
{"File": "Run5", "Epochs": 260},
{"File": "Run6", "Epochs": 280},
{"File": "Run7", "Epochs": 280},
{"File": "Run8", "Epochs": 340},
{"File": "Run9", "Epochs": 340},
{"File": "Run10", "Epochs": 200} ]
ensembles = []
for ensemble_file in ensemble_file_list:
ensemble_args = copy.deepcopy(args) # ensure that args cannot be side-swiped.
ensemble_args.indepList = ["DRAGON"]
ensemble_args.dependVar = "ION_ACTIVITY"
ensemble_args.train = 0
ensemble_args.epoch = ensemble_file["Epochs"]
ensemble_args.loadFilename = os.path.join(ensemble_args.postfixDirectory, ensemble_file["File"])
ensembles.append(KlassIonDragon(ensemble_args, log))
return ensembles
def model_ensemble_train(self):
for ensemble in self.ensembles:
ensemble.initialize(self.raw_data)
def model_name(self):
return "Ensemble DNN Classifier"
def model_postfix(self): # Must be unique for each model.
return "ion_ens"
def model_description(self):
return ("A Neural Network that uses an ensemble of other classifiers as input. \n"
"The other classification models are pre-trained")
def model_define(self): # Defines the modified sequential class with regularizers defined.
self.model_ensemble_train()
return self.model_arch()
def model_arch(self): # Defines the modified sequential class with regularizers defined.
model = Sequential()
dropout_param = 0.2
activation = "relu"
initializer = "uniform"
adam = Adam(lr=0.0005, beta_1=0.9, beta_2=0.999, epsilon=5e-09)
model.add(Dense(8, input_dim=len(self.ensembles), kernel_initializer=initializer, activation=activation, kernel_constraint=maxnorm(3)))
model.add(Dropout(dropout_param))
model.add(Dense(16, kernel_initializer=initializer, activation=activation, kernel_constraint=maxnorm(3)))
model.add(Dropout(dropout_param))
model.add(Dense(16, kernel_initializer=initializer, activation=activation, kernel_constraint=maxnorm(3)))
model.add(Dropout(dropout_param))
model.add(Dense(3, activation = "softmax", kernel_initializer="normal"))
model.compile(loss="categorical_crossentropy", optimizer=adam, metrics=["accuracy"])
return model
def model_prediction(self, data):
predictions = self.model.predict_classes(self.input_probability(data), verbose=0)
classes = self.model_enumerate_classes()
class_list = []
for predict in predictions:
class_list.append(classes[predict])
return {"prediction": class_list, "actual": data.target_data()}
def model_evaluate(self, data):
classes = self.model_enumerate_classes()
class_list = data.target_data()
index_list = []
for a_class in class_list:
index_list.append(classes.index(a_class))
binary_labels = np_utils.to_categorical(index_list)
score = self.model.evaluate(self.input_probability(data), binary_labels, verbose=0)
return score
def model_probability(self, data): # probabilities are returned as a numpy.shape = (samples, classes)
prob =self.model.predict_proba(self.input_probability(data))
prob_list = list(prob)
return {"probability": prob_list}
def train_epoch(self, epoch):
classes = self.model_enumerate_classes()
class_list = self.data.training().target_data()
index_list = []
for a_class in class_list:
index_list.append(classes.index(a_class))
binary_labels = np_utils.to_categorical(index_list)
hist = self.model.fit(self.input_probability(self.data.training()), binary_labels,
validation_split=self.args.holdOut, epochs=epoch, verbose=1)
self.train_history("model_aux.csv", hist.history, epoch)
def epoch_read(self, epoch):
self.model_ensemble_train()
file_name = self.args.loadFilename + "_" + "{}".format(epoch) + ".krs"
self.log.info("KERAS - Loading Trained %s Model in File: %s", self.model_name(), file_name)
model = load_model(file_name)
return model
def input_probability(self, data):
prob_list = []
for ensemble in self.ensembles:
prob = ensemble.model.predict_proba(data.input_data())
prob = np.asarray(prob)
prob_list.append(prob[:,0])
prob_columns = np.column_stack(prob_list)
return prob_columns
|
[
"james.duncan.mcculloch@gmail.com"
] |
james.duncan.mcculloch@gmail.com
|
7418f34731694107c8a9a766757898df186dc261
|
98b76260f5c31563aa40e76c412be514c1844fc2
|
/fHDHR_web/api/settings.py
|
a4fcf1972588de1780c041f6de66faceafd4cbb7
|
[
"WTFPL"
] |
permissive
|
DanAustinGH/fHDHR_Locast
|
cb54b235200a6123213853a133d6231df3b3a1ea
|
002117b666ad650c523aedb0209f1c996d576169
|
refs/heads/main
| 2023-02-15T20:27:21.141592
| 2021-01-05T19:09:35
| 2021-01-05T19:09:35
| 327,135,296
| 0
| 0
|
WTFPL
| 2021-01-05T22:28:13
| 2021-01-05T22:28:13
| null |
UTF-8
|
Python
| false
| false
| 1,386
|
py
|
from flask import request, redirect
import urllib.parse
class Settings():
endpoints = ["/api/settings"]
endpoint_name = "api_settings"
endpoint_methods = ["GET", "POST"]
def __init__(self, fhdhr):
self.fhdhr = fhdhr
def __call__(self, *args):
return self.get(*args)
def get(self, *args):
method = request.args.get('method', default="get", type=str)
redirect_url = request.args.get('redirect', default=None, type=str)
if method == "update":
config_section = request.form.get('config_section', None)
config_name = request.form.get('config_name', None)
config_value = request.form.get('config_value', None)
if not config_section or not config_name or not config_value:
if redirect_url:
return redirect(redirect_url + "?retmessage=" + urllib.parse.quote("%s Failed" % method))
else:
return "%s Falied" % method
if config_section == "origin":
config_section = self.fhdhr.config.dict["main"]["dictpopname"]
self.fhdhr.config.write(config_section, config_name, config_value)
if redirect_url:
return redirect(redirect_url + "?retmessage=" + urllib.parse.quote("%s Success" % method))
else:
return "%s Success" % method
|
[
"github@deathbybandaid.net"
] |
github@deathbybandaid.net
|
ed61c1f0260aa76c5c67b5bcc7a0bef382d999d1
|
b8686c3276a22a773135dfabcb775dace1b32d17
|
/beanMachSim2.py
|
3f4d1f7383f03667b2f363e0c8ef10f258c9a967
|
[] |
no_license
|
jacobmorra/beanMachSim
|
cd91d309cd939d4505612a768b9ed3d4b1f8f821
|
ced86eb2479416d05515bbfbafa7d5fcf730f7b7
|
refs/heads/master
| 2020-04-06T04:42:05.457399
| 2017-04-23T00:47:05
| 2017-04-23T00:47:05
| 82,877,845
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,700
|
py
|
import random as r
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
#have n bins, n-1 pins at bottom row, then n-2, n-3...
class beanMachSim():
def __init__(self, numBalls):
self.numBalls = numBalls
self.numRows = 20
self.numBins = self.numRows+1
self.binContents = np.zeros((self.numBins,), dtype=np.int)
self.ballPos = 0
def theorResult(self):
return True
def moveRight(self):
p = np.random.rand()
if p > 0.5 and p < 1:
#print p
return True
elif p > 0 and p <= 0.5:
#print p
return False
def dropBall(self):
self.ballPos = (self.numBins/2)+1 #reset ball pos to middle b/w 0 and 9
print "start @ middle: ", self.ballPos
for i in range(self.numRows+1):
print "row: ", i
right = self.moveRight()
if right is True:
if self.ballPos == self.numBins-1:
print "ball @ 9"
pass
elif self.ballPos < self.numBins-1:
print "move right"
self.ballPos += 1
if right is False:
if self.ballPos == 0:
print "ball @ 0"
pass
elif self.ballPos > 0:
print "move left"
self.ballPos -= 1
print self.ballPos
return self.ballPos
def dropAllBalls(self):
while self.numBalls > 0:
self.binContents[self.dropBall()] += 1
self.numBalls -= 1
def update_hist(self):
plt.cla() #clear axis
for i in self.binContents:
self.binContents[i] +=1
plt.hist(self.binContents)
def main():
import random as r
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
q = beanMachSim(1000)
q.dropAllBalls()
print q.binContents
numFrames = 10
#plt.bar(range(0, q.numBins), q.binContents)
#plt.show()
number_of_frames = 10
fig = plt.figure()
ax1=fig.add_subplot(1,1,1)
#hist = plt.hist(q.binContents[0])
def animate(i):
a=beanMachSim(100)
x=[]
for i in range(a.numBins):
x.append(i)
while a.numBalls > 0:
print a.binContents
a.binContents[a.dropBall()] += 1
a.numBalls -= 1
print a.binContents
#plt.hist(a.binContents)
ax1.plot(x,a.binContents)
ani = animation.FuncAnimation(fig, animate, interval = 100)
plt.show()
if __name__ == "__main__": main()
|
[
"jacob.morra@uoit.net"
] |
jacob.morra@uoit.net
|
4b32c70f537ca7f7af7b6fe05cd69ef92cd2fe9e
|
6c747d71555eed0f50c04614950dbca327323f15
|
/settings.py
|
e2d379f06be86811cd1d1df3bc38be93f5031e95
|
[] |
no_license
|
blarneyosullivan/flask_blog
|
f8974c23a7d6e057cd633565634a4ed372640e6b
|
526f3f028ddeb6b4a4ea837f462c7fa8f21dd6b0
|
refs/heads/master
| 2021-01-17T10:30:47.362030
| 2016-06-14T11:20:50
| 2016-06-14T11:20:50
| 57,325,181
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 499
|
py
|
import os
SECRET_KEY = "-\x85\x99Q5\x89\xe7@\x06\xd3\xa6=G\xcf k\xce6'\x16\xd6\xbb\xe6q"
DEBUG = True
DB_USERNAME = 'blarneyosullivan'
DB_PASSWORD = ''
BLOG_DATABASE_NAME = 'blog'
DB_HOST = os.getenv('IP','0.0.0.0')
DB_URI = "mysql+pymysql://%s:%s@%s/%s" % (DB_USERNAME, DB_PASSWORD, DB_HOST, BLOG_DATABASE_NAME)
SQLALCHEMY_DATABASE_URI = DB_URI
SQLALCHEMY_TRACK_MODIFICATIONS = True
UPLOADED_IMAGES_DEST = '/home/ubuntu/workspace/flask_blog/static/images'
UPLOADED_IMAGES_URL = '/static/images/'
|
[
"blarneyosullivanbloggs@gmail.com"
] |
blarneyosullivanbloggs@gmail.com
|
e114ba8f5c50330232bf96fade678a11abb13e91
|
1178f1445ab0be78a1ff1865ef57d8af1b8c0e56
|
/LearnDistance/refactored/old_files/testTensorBoard.py
|
666cf1b9814bbaa04eb56c6b9dc1bd6cdc3d23b9
|
[] |
no_license
|
GiannisGl/MasterThesis
|
2e22eae9389436a910f8af8d5787baf54e7f35e8
|
9af4c2976c4dd645ecb61fa0938e9fb7979b2888
|
refs/heads/master
| 2021-04-09T15:02:04.603535
| 2019-01-02T00:29:12
| 2019-01-02T00:29:12
| 125,541,194
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,429
|
py
|
import torch
import torchvision
import torchvision.transforms as transforms
from tensorboardX import SummaryWriter
from featuresModel import featsLenetFix, featsLenetFull, featsAE
from helperFunctions import *
import sys
sys.path.insert(0, '../../trainModels')
trainstep = 3
delta = 5
lamda = 1
Nsamples = 1000
nAug = 10
modelname = "featsModelLearnDistanceDistLeNetNoNormAugmentationDelta50Lamda1"
# modelname = "featsModelLearnDistanceDistLeNetNoNormAugmentation%iDelta%iLamda%i" % (nAug, delta, lamda)
modelfolder = "trainedModels"
featsModel = load_model(featsLenetFull, modelfolder, modelname, trainstep, pretrained=False)
featsModel.cpu()
transform = transforms.Compose(
[transforms.ToTensor()])
if torch.cuda.is_available():
datafolder = "/var/tmp/ioannis/data"
else:
datafolder = "../../data"
transform = transforms.Compose([transforms.ToTensor()])
train_dataset = torchvision.datasets.MNIST(root=datafolder, train=True, download=False, transform=transform)
train_subset = torch.utils.data.dataset.Subset(train_dataset, range(Nsamples))
trainloader = torch.utils.data.DataLoader(train_subset, batch_size=Nsamples, shuffle=False, num_workers=0)
test_dataset = torchvision.datasets.MNIST(root=datafolder, train=False, download=False, transform=transform)
test_subset = torch.utils.data.dataset.Subset(test_dataset, range(Nsamples))
testloader = torch.utils.data.DataLoader(test_subset, batch_size=Nsamples, shuffle=False, num_workers=0)
# Train Visualization
print('visualizing..')
writerEmb = SummaryWriter(comment='%s_Iter%i_mnist_embedding_train' % (modelname, trainstep), log_dir='embeddings3')
iterTrainLoader = iter(trainloader)
input, label = next(iterTrainLoader)
output = featsModel.forward(input)
output = torch.squeeze(output)
print(output.size())
# output = torch.cat((output, torch.ones(len(output), 1)), 1)
# input = input.to(torch.device("cpu"))
# save embedding
writerEmb.add_embedding(output, metadata=label.data, label_img=input.data, global_step=14)
# Test Visualization
print('visualizing..')
iterTestLoader = iter(testloader)
input, label = next(iterTestLoader)
output = featsModel.forward(input)
output = torch.squeeze(output)
print(output.size())
# output = torch.cat((output, torch.ones(len(output), 1)), 1)
# input = input.to(torch.device("cpu"))
# save embedding
writerEmb.add_embedding(output, metadata=label.data, label_img=input.data, global_step=15)
writerEmb.close()
|
[
"ioannis.glampedakis@students.unibe.ch"
] |
ioannis.glampedakis@students.unibe.ch
|
cc80b8774b1bc6cf8f038f4f1585bb89f36e1c8c
|
b7fe5aefc01f45170d2cfc2f4c3ca2c14c2778dd
|
/csgo-ui-cv/src/initJson.py
|
114f61d29aec7bc46ce466699245d6ce7783b314
|
[] |
no_license
|
mortenoj/deep-learning-project
|
ed2a0996682762b6d12b7bf922c32c6de4dd1832
|
402e1af3dbb9b1e89d4fc3607b0cf9818f81a13d
|
refs/heads/master
| 2023-04-13T20:30:49.580820
| 2019-11-23T14:34:16
| 2019-11-23T14:34:16
| 218,812,195
| 0
| 0
| null | 2023-03-25T00:07:51
| 2019-10-31T16:36:48
|
Python
|
UTF-8
|
Python
| false
| false
| 354
|
py
|
import glob
import json
data = []
for file in glob.glob("icons/*.png"):
if "_dark" in file:
continue
name = file.replace("icons/", "").replace(".png", "")
data.append({
'name': name,
'path': file,
'type': '',
'cost': 0,
})
with open('data.json', 'w') as outfile:
json.dump(data, outfile)
|
[
"morten@omholt-jensen.com"
] |
morten@omholt-jensen.com
|
8f1f674218ed67a9453406ca5cdeede7c1220ca6
|
3dab3662af42f6b33f8e16724949261129ed8f8f
|
/Python/task43.py
|
ace6bfafc0db962c945230240c03343f6fcfe5a6
|
[] |
no_license
|
kikiwongweb/kikiwongweb.github.io
|
81f7d922c9e9dc1464688362de448f055fe9b729
|
dbb0b55f47d26a4747ce9aa9049777c8ddd275d7
|
refs/heads/master
| 2023-09-02T19:24:48.413096
| 2023-08-25T08:21:21
| 2023-08-25T08:21:21
| 202,672,757
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 66
|
py
|
thistuple = ["scone ", "cupcake", "muffins"]
print(thistuple[1])
|
[
"wkiyuet@gmail.com"
] |
wkiyuet@gmail.com
|
a787047bff0c334d700d0bb2702386844d93b971
|
a4646f7f0204aadbb57be000825f22c545c0ca18
|
/groups_service/db.py
|
9c235da95555e935a4f4b996e16ecbe9e17fad41
|
[] |
no_license
|
lv-412-python/groups-service-repo
|
7d883d9d43c8585d4660cb6819ce5526ab17d031
|
c5c9a8f0f33e87ad95555e0340ce02086c471fd0
|
refs/heads/develop
| 2022-12-10T11:00:35.022035
| 2019-08-15T11:59:44
| 2019-08-15T11:59:44
| 192,919,017
| 0
| 0
| null | 2022-12-08T05:53:21
| 2019-06-20T12:49:27
|
Python
|
UTF-8
|
Python
| false
| false
| 290
|
py
|
"""Database connection."""
from flask_migrate import Migrate
from flask_sqlalchemy import SQLAlchemy
from groups_service import APP
from groups_service.config.dev_config import DevelopmentConfig
APP.config.from_object(DevelopmentConfig)
DB = SQLAlchemy(APP)
MIGRATE = Migrate(APP, DB)
|
[
"hydh95@gmail.com"
] |
hydh95@gmail.com
|
69fd4e746a10a6f382f1d36d5fc74e9be78fe04b
|
cd9c3bfe77cb1673746345522acc77ec990242fc
|
/composite.py
|
b85e06f25246e5e1d2d1ce9406c576f21a1675e4
|
[] |
no_license
|
tjuls123/DesignPattern
|
18b7bbab1bb086019a1c69f87690e98912e3a585
|
08bf6210d68b4115fe8d575eae9e023d1f4f33da
|
refs/heads/master
| 2022-09-22T02:21:48.607400
| 2020-05-28T13:38:17
| 2020-05-28T13:38:17
| 259,825,527
| 0
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,757
|
py
|
# -*- coding:utf-8 -*-
# Author: lsn5884@corp.netease.com
# Date : 2020/5/26
# Note : 组合模式
"""
将对象组合成树形结构以表示‘部分-整体’的层次结构，Composite使得用户对单个对象和组合对象的使用具有一致性
Composite模式的关键是一个抽象类，它既可以表示基本图元，也可以表示图元的容器
参与者：
Component
为组合中的对象申明接口
在适当的情况下，实现所有类共有接口的缺省行为
申明一个接口用于管理子组件
Leaf:
表示叶子节点，定义图元的行为
Composite：
管理子组件
"""
class Component(object):
def __init__(self, name):
self.name = name
def add(self, component):
"""Composite 的管理子节点的方法，添加component"""
raise NotImplementedError
def remove(self, component):
"""移除component"""
raise NotImplementedError
def show_name(self):
"""叶子节点的具体方法"""
print self.name
class LeafComponent(Component):
def __init__(self, name):
super(LeafComponent, self).__init__(name)
def add(self, component):
raise NotImplementedError
def remove(self, component):
raise NotImplementedError
class Composite(Component):
def __init__(self, name):
super(Component, self).__init__(name)
self.child_components = []
def add(self, component):
self.child_components.append(component)
def remove(self, component):
self.child_components.remove(component)
if __name__ == '__main__':
c = Composite('Composite1')
c.add(LeafComponent('component1'))
c2 = Composite('Composite2')
c.add(c2)
c2.add(LeafComponent('asdf'))
|
[
"tjuls163@163.com"
] |
tjuls163@163.com
|
dafc7a05ccff7145ce835329a4d70a8c20a5a1b0
|
377d86194fd6d23c8ef3df3e6f7d90092dd8f9b4
|
/workout_tracker/core/views.py
|
6d2e25e1e49080b2d8ec1710997bbc07a3957c4b
|
[
"MIT"
] |
permissive
|
e-dang/Workout-Tracker
|
f20f44b012e895244bad413a46103415ffae5732
|
00a27597ea628cff62b320d616f56b2df4f344a0
|
refs/heads/master
| 2022-12-28T07:49:34.179307
| 2020-10-12T20:48:28
| 2020-10-12T20:48:28
| 293,937,958
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 409
|
py
|
from rest_framework.viewsets import GenericViewSet
from rest_framework import mixins
class ListRetrieveUpdateDestroyViewSet(mixins.ListModelMixin,
mixins.RetrieveModelMixin,
mixins.UpdateModelMixin,
mixins.DestroyModelMixin,
GenericViewSet):
pass
|
[
"edang830@gmail.com"
] |
edang830@gmail.com
|
5d68b25c00bf45fe30b2bb744c6a85ac95b2bf0d
|
8ac1b76e4e8f3d74800d0b8cd5b9e452150daac3
|
/gaffer/cli/commands/lookup_jobs.py
|
272b21af62ddb94eea500a48073ac4637e096fb4
|
[
"MIT",
"LicenseRef-scancode-public-domain",
"LicenseRef-scancode-unknown-license-reference",
"Unlicense",
"BSD-3-Clause"
] |
permissive
|
david-caro/gaffer
|
a721f2306554e93712b71502909d5fe56327ae3d
|
f69adfd5f674cecd2bcd95bc7917f4aa77a5a89d
|
refs/heads/master
| 2023-08-19T10:57:51.431467
| 2013-10-19T12:49:16
| 2013-10-19T12:49:16
| 17,575,380
| 0
| 0
|
NOASSERTION
| 2023-08-14T21:35:19
| 2014-03-09T22:31:28
|
Python
|
UTF-8
|
Python
| false
| false
| 1,605
|
py
|
# -*- coding: utf-8 -
#
# This file is part of gaffer. See the NOTICE for more information.
from ...lookupd.client import LookupServer
from .base import Command
import pyuv
class LookupJobs(Command):
"""
usage: gaffer lookup:jobs (-L ADDR|--lookupd-address=ADDR)...
-h, --help
-L ADDR --lookupd-address=ADDR lookupd HTTP address
"""
name = "lookup:jobs"
short_descr = "list all jobs in lookupd servers"
def run(self, config, args):
lookupd_addresses = set(args['--lookupd-address'])
loop = pyuv.Loop.default_loop()
all_jobs = {}
for addr in lookupd_addresses:
s = LookupServer(addr, loop=loop, **config.client_options)
resp = s.jobs()
for job in resp['jobs']:
job_name = job['name']
if job_name in all_jobs:
all_jobs[job_name] = list(
set(all_jobs[job_name] + job['sources'])
)
else:
all_jobs[job_name] = job['sources']
loop.run()
print("%s job(s) found\n" % len(all_jobs))
for job_name, sources in all_jobs.items():
lines = ["=== %s" % job_name]
for source in sources:
name = source['node_info']['name']
version = source['node_info']['version']
origin = source['node_info']['origin']
lines.append("%s - name: %s, protocol: %s" % (origin,
name, version))
lines.append("")
print("\n".join(lines))
|
[
"bchesneau@gmail.com"
] |
bchesneau@gmail.com
|
924428b72cc88b244685fd2e7a2944bde27fc0f8
|
fbfde86616755a99f37812112342469a5da8930a
|
/learning_users/basic_app/migrations/0001_initial.py
|
7fc9b6ce0de26b0de0b5c64036bf0d5456e686a0
|
[] |
no_license
|
Denisijcu/django-deployment-example
|
e23d517736e5959fb9a7982046896d0f7c1c2b3e
|
14a140b21d7200e4f208a50b0f2b33ed3d219baa
|
refs/heads/master
| 2020-03-07T06:10:26.361924
| 2018-03-29T16:20:00
| 2018-03-29T16:20:00
| 127,314,803
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 845
|
py
|
# Generated by Django 2.0.2 on 2018-03-29 13:07
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='UserProfileInfo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('portfolio_site', models.URLField(blank=True)),
('profile_pic', models.ImageField(blank=True, upload_to='profile_pics')),
('user', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
],
),
]
|
[
"dsanchez@armellini.com"
] |
dsanchez@armellini.com
|
93119f66d54d058edd970d86595e73eedffac4ac
|
8ea98c14a7097448e56d0256458a9b944176e73d
|
/was-projekti/lib/python3.7/importlib/_bootstrap.py
|
a3af0e6ece96b214f142d5c06e9a82662e732e1c
|
[] |
no_license
|
ronttonen/was_ryhma_tyo
|
03e5719be27cc72de41e8f9e1e7e50a3db301ffe
|
4a3f874aacc2426d8927fb14b64e9d23d6618889
|
refs/heads/master
| 2020-04-30T01:53:36.666710
| 2019-03-26T18:23:40
| 2019-03-26T18:23:40
| 176,542,879
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 64
|
py
|
/Users/roni.ahti/anaconda3/lib/python3.7/importlib/_bootstrap.py
|
[
"roni.ahti@quru.fi"
] |
roni.ahti@quru.fi
|
864e386240e97b5099dbc6a37b8d6b74b8c64332
|
1ac57ac40a64f1a2f81d913d3c3d0b563dfb7d14
|
/src/synchronization.py
|
d8cf425aa84aafff0fee78073ccfd5d1d243e1d3
|
[] |
no_license
|
krupatomasz/dtn-sync
|
20a92caf93cbfff5e30f28118496e170d7858f6f
|
89d1c468876f42a69a73343c9547674f5d7f8e59
|
refs/heads/master
| 2020-06-19T08:21:00.020338
| 2019-06-22T17:02:09
| 2019-06-22T17:02:09
| 196,635,952
| 0
| 0
| null | 2019-07-12T19:39:52
| 2019-07-12T19:39:52
| null |
UTF-8
|
Python
| false
| false
| 453
|
py
|
import communication
class UpdateMetric:
LONGEST_CHAIN = 1
NEWEST = 2
class SyncWorker:
def __init__(self, path, conflict_resolution_callback, update_metric=UpdateMetric.LONGEST_CHAIN):
self.conflict_resolution_callback = conflict_resolution_callback
self.update_metric = update_metric
self.comm = communication.Communicator(self._on_file_received)
def _on_file_received(self, file):
print("XXX")
|
[
"chorig9@gmail.com"
] |
chorig9@gmail.com
|
ca4b8206a1c14bb172cf7b8b72f33bc51eec827c
|
4f9335717b02c4d3dc697ff051d34455be45a9d1
|
/pytorch_codes/casnet2_mixed_alldirs/dataload_unet_mixed.py
|
0279d340e3b9d912af0ca701e599a145be2b1436
|
[] |
no_license
|
sunhongfu/scripts
|
7df6bf7eb922a58fba2cdef187ac2d5bb19f8357
|
6d0239e05cea73d9413acca1bd4ecdcc22d00404
|
refs/heads/master
| 2022-12-11T01:05:06.209578
| 2022-12-07T04:28:26
| 2022-12-07T04:28:26
| 63,374,060
| 4
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 4,098
|
py
|
import numpy as np
import nibabel as nib
import torch
from torch.utils import data
import torch.nn.functional as F
class yangDataSet(data.Dataset):
def __init__(self, root, z_prjs_file):
super(yangDataSet, self).__init__()
self.root = root
# self.list_path = list_path
self.z_prjs_file = z_prjs_file
z_prjs_arr = [line.strip().split(" ") for line in open(z_prjs_file)]
# convert z_prjs into a dic
z_prjs_keys = [z_prjs_arr[i][0] for i in range(0, len(z_prjs_arr))]
z_prjs_values = [z_prjs_arr[i][1:4] for i in range(0, len(z_prjs_arr))]
# z_prjs_dict = dict(zip(z_prjs_keys, z_prjs_values))
# get the number of files.
self.img_ids = [i_id.strip() for i_id in z_prjs_keys]
# print(self.img_ids)
# get all fil names, preparation for get_item.
# for example, we have two files:
# 102-field.nii for input, and 102-phantom for label;
# then image id is 102, and then we can use string operation
# to get the full name of the input and label files.
self.files = []
for name in self.img_ids:
img_file = self.root + \
("/alldirs_field/alldirs_field_%s.nii" % name)
label_file = self.root + ("/alldirs_chi/alldirs_chi_%s.nii" % name)
rot_file = self.root + \
("/alldirs_rotation/alldirs_rot_mat_%s.nii" % name)
inv_file = self.root + \
("/alldirs_rotation/alldirs_inv_mat_%s.nii" % name)
self.files.append({
"img": img_file,
"label": label_file,
"rot_mat": rot_file,
"inv_mat": inv_file,
"name": name
})
# sprint(self.files)
def __len__(self):
return len(self.files)
def __getitem__(self, index):
datafiles = self.files[index]
'''load the datas'''
name = datafiles["name"]
# nifti read codes.
nibimage = nib.load(datafiles["img"])
niblabel = nib.load(datafiles["label"])
nibrot = nib.load(datafiles["rot_mat"])
nibinv = nib.load(datafiles["inv_mat"])
image = nibimage.get_data()
label = niblabel.get_data()
rot_mat = nibrot.get_data()
inv_mat = nibinv.get_data()
image = np.array(image)
label = np.array(label)
rot_mat = np.array(rot_mat)
inv_mat = np.array(inv_mat)
# convert the image data to torch.tesors and return.
image = torch.from_numpy(image)
label = torch.from_numpy(label)
rot_mat = torch.from_numpy(rot_mat)
inv_mat = torch.from_numpy(inv_mat)
image = torch.unsqueeze(image, 0)
label = torch.unsqueeze(label, 0)
rot_mat = torch.unsqueeze(rot_mat, 0)
inv_mat = torch.unsqueeze(inv_mat, 0)
image = image.float()
label = label.float()
rot_mat = rot_mat.float()
inv_mat = inv_mat.float()
image = F.pad(image, (8, 8, 8, 8, 8, 8), "constant", 0)
label = F.pad(label, (8, 8, 8, 8, 8, 8), "constant", 0)
return image, label, rot_mat, inv_mat, name
# before formal usage, test the validation of data loader.
if __name__ == '__main__':
DATA_DIRECTORY = '/Volumes/LaCie/CommQSM/invivo/data_for_training'
DATA_LIST_PATH = '/Users/uqhsun8/Documents/MATLAB/scripts/pytorch_codes/image_unet_stack_prjs_alldirs_equalsize/z_prjs_alldirs.txt'
Batch_size = 4
dst = yangDataSet(DATA_DIRECTORY, DATA_LIST_PATH)
print(dst.__len__())
# just for test, so the mean is (0,0,0) to show the original images.
# But when we are training a model, the mean should have another value
# test code on personal computer:
trainloader = data.DataLoader(
dst, batch_size=Batch_size, shuffle=False, drop_last=True)
for i, Data in enumerate(trainloader):
image, label, rot_mat, inv_mat, name = Data
print(i)
if i % 1 == 0:
print(name)
print(image.size())
print(label.size())
|
[
"sunhongfu@gmail.com"
] |
sunhongfu@gmail.com
|
4fa2247e444d092bd39cc8151730fac832136ec1
|
08cc2f0b3b87979460e2a63f0986beb418ba7747
|
/pursuite/bin/route53
|
4ef01015d473f339315e3295f8e617f0c84fb896
|
[] |
no_license
|
yagna-tech/Staging-WFIMS-1
|
31d4c5323f80e2b334136b76d50a4db75faf0045
|
ac53d1ddafb987404570edb7a15d6db5daa2e3da
|
refs/heads/master
| 2016-08-03T08:49:04.120781
| 2015-04-15T08:06:17
| 2015-04-15T08:06:17
| 33,035,575
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 178
|
#!/opt/pursuite/bin/python
# EASY-INSTALL-SCRIPT: 'boto==2.27.0','route53'
__requires__ = 'boto==2.27.0'
import pkg_resources
pkg_resources.run_script('boto==2.27.0', 'route53')
|
[
"lakshmi@yagna-tech.com"
] |
lakshmi@yagna-tech.com
|
|
19eee7c510ffba8cd43392beb70aee1fdf596626
|
0a7d60f0f79fa6d00b3d99e42f4eb5bd84b5d147
|
/teuthology/test/test_get_distro_version.py
|
e93b9b62a67aaf02a8d02ac4d2eeb9ca08696a09
|
[] |
no_license
|
yehudasa/teuthology
|
792bfdc8078be2e983b2fdf9d1b6744e92d99a92
|
59ee17dc1944d35966693369edff785c5e73dc1d
|
refs/heads/master
| 2021-01-15T20:57:11.704086
| 2014-05-30T14:59:36
| 2014-05-30T14:59:36
| 20,341,792
| 1
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,827
|
py
|
from .. import misc as teuthology
class Mock: pass
class TestGetDistroVersion(object):
def setup(self):
self.fake_ctx = Mock()
self.fake_ctx.config = {}
self.fake_ctx_noarg = Mock()
self.fake_ctx_noarg.config = {}
self.fake_ctx_noarg.os_version = None
def test_default_distro_version(self):
#Default distro is ubuntu, default version of ubuntu is 12.04
self.fake_ctx.os_version = None
distroversion = teuthology.get_distro_version(self.fake_ctx)
assert distroversion == '12.04'
def test_argument_version(self):
self.fake_ctx.os_version = '13.04'
distroversion = teuthology.get_distro_version(self.fake_ctx)
assert distroversion == '13.04'
def test_teuth_config_version(self):
#Argument takes precidence.
self.fake_ctx.os_version = '13.04'
self.fake_ctx.config = {'os_version': '13.10'}
distroversion = teuthology.get_distro_version(self.fake_ctx)
assert distroversion == '13.04'
def test_teuth_config_downburst_version(self):
#Argument takes precidence
self.fake_ctx.os_version = '13.10'
self.fake_ctx.config = {'downburst' : {'distroversion': '13.04'}}
distroversion = teuthology.get_distro_version(self.fake_ctx)
assert distroversion == '13.10'
def test_teuth_config_noarg_version(self):
self.fake_ctx_noarg.config = {'os_version': '13.04'}
distroversion = teuthology.get_distro_version(self.fake_ctx_noarg)
assert distroversion == '13.04'
def test_teuth_config_downburst_noarg_version(self):
self.fake_ctx_noarg.config = {'downburst' : {'distroversion': '13.04'}}
distroversion = teuthology.get_distro_version(self.fake_ctx_noarg)
assert distroversion == '13.04'
|
[
"sandon@inktank.com"
] |
sandon@inktank.com
|
7a6f1f9e78fc429569f97ddd2f0b02cafd7439af
|
41073cb6cb646503113db91a96d6a8db818ea409
|
/dir/management/commands/enforce_language_association.py
|
a264a2c9b8217167329c84be19689c3d694abad4
|
[] |
no_license
|
Xangis/wbsrch
|
824a881e6455ac9e552c7826f414d4b8701bcc3d
|
f95fb65e54fce29e9d2157f66ce79c7f4da91639
|
refs/heads/master
| 2023-06-28T23:53:06.365752
| 2021-07-26T18:43:27
| 2021-07-26T18:43:27
| 52,846,758
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,666
|
py
|
# -*- coding: utf-8 -*-
from django.core.management.base import BaseCommand
from dir.models import DomainInfo, language_list, SiteInfo
from dir.utils import MoveSiteTo, GetSiteInfoModelFromLanguage
class Command(BaseCommand):
help = """
This command enforces language associations on all URLs in the database.
Domains with a language tag could have made it into the main site_info table
from a sync_crawls import or some other way. The puts things where they belong.
"""
def add_arguments(self, parser):
parser.add_argument('-c', '--cleanup', default=False, action='store_true', dest='cleanup', help='Delete all non-English pages from language indexes if they are not tagged that language.')
parser.add_argument('-l', '--language', default=None, action='store', dest='languages', help='Check this comma-seperated list of language codes, only works with -c. (default=all)')
def handle(self, *args, **options):
if options['cleanup']:
if 'languages' not in options:
languages = language_list
else:
languages = options['languages'].split(',')
loglines = []
for language in languages:
if language == 'en':
continue
deleted = 0
bad_domains = 0
good_domains = 0
print('Processing language {0}'.format(language))
site_model = GetSiteInfoModelFromLanguage(language)
domains_to_check = site_model.objects.values_list('rooturl', flat=True).distinct().order_by('rooturl')
for domain in domains_to_check:
info = DomainInfo.objects.filter(url=domain).first()
if not info or info.language_association != language:
print('{0} is not {1}. Deleting.'.format(domain, language))
count = site_model.objects.filter(rooturl=domain).count()
print('Deleting {0} pages.'.format(count))
deleted += count
bad_domains += 1
site_model.objects.filter(rooturl=domain).delete()
else:
print('{0} is good.'.format(domain))
good_domains += 1
logline = '{0}: {1} domains were good and {2} were not. {3} pages were deleted.'.format(language, good_domains, bad_domains, deleted)
loglines.append(logline)
print(logline)
for line in loglines:
print(line)
return
domain_data = DomainInfo.objects.filter(language_association__in=language_list).exclude(language_association='en').order_by('url').values('url', 'language_association')
print('Need to process {0} domains.'.format(len(domain_data)))
count = 0
pages_moved = 0
for domain in domain_data:
# print(domain)
# {'url': '0000000000000.de', 'language_association': 'de'}
pages = SiteInfo.objects.filter(rooturl=domain['url'])
found = pages.count()
if found:
print('Need to move {0} pages to {1} for {2}'.format(found, domain['language_association'], domain['url']))
for page in pages:
MoveSiteTo(page, domain['language_association'])
pages_moved += 1
count += 1
if count % 10000 == 0:
print('Processed {0} domains.'.format(count))
print('Processed {0} domains and moved {1} pages.'.format(count, pages_moved))
|
[
"jchampion@zetacentauri.com"
] |
jchampion@zetacentauri.com
|
fe2805328e8c5860ae723a28a58e36986c45e932
|
38a7290136587c5fb6e1b8dec73df21c646bd301
|
/realCaraway/caraway/login/migrations/0021_auto_20180331_0635.py
|
10023a9717e18952904ea80fe4acd8bc352fc543
|
[
"MIT"
] |
permissive
|
Arkham32/cmpt395
|
2447b1b3c27d6591f809bd848e685a62a461b207
|
d526ddf7a253ada94ba9682c009d33e45f7b5a90
|
refs/heads/master
| 2020-05-01T01:27:38.569285
| 2018-04-11T01:51:52
| 2018-04-11T01:51:52
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 451
|
py
|
# Generated by Django 2.0.2 on 2018-03-31 06:35
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('login', '0020_auto_20180331_0631'),
]
operations = [
migrations.RemoveField(
model_name='parentcreation',
name='last_login',
),
migrations.RemoveField(
model_name='parentcreation',
name='password',
),
]
|
[
"asifr@mymacewan.ca"
] |
asifr@mymacewan.ca
|
1c57565fe8552e752679d220837557441e8c8dbb
|
9307372654241cd7235132cb2b8153e5e7557ebd
|
/track/migrations/0007_auto_20210614_1644.py
|
e699f25d84bb03b7a9a0863a649f7834129585aa
|
[] |
no_license
|
rohan-130/fitness-stats
|
faa87d018459b8f47f3aa6a27e8d385469aa61a4
|
06a63091d8359e2e56645e9290a47d2e33d31359
|
refs/heads/master
| 2023-06-15T22:24:22.390308
| 2021-07-13T08:28:50
| 2021-07-13T08:28:50
| 382,362,683
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,344
|
py
|
# Generated by Django 3.1.6 on 2021-06-14 11:14
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('track', '0006_auto_20210614_1629'),
]
operations = [
migrations.AlterField(
model_name='plans',
name='fri',
field=models.CharField(max_length=5, null=True),
),
migrations.AlterField(
model_name='plans',
name='mon',
field=models.CharField(max_length=5, null=True),
),
migrations.AlterField(
model_name='plans',
name='sat',
field=models.CharField(max_length=5, null=True),
),
migrations.AlterField(
model_name='plans',
name='sun',
field=models.CharField(max_length=5, null=True),
),
migrations.AlterField(
model_name='plans',
name='thu',
field=models.CharField(max_length=5, null=True),
),
migrations.AlterField(
model_name='plans',
name='tue',
field=models.CharField(max_length=5, null=True),
),
migrations.AlterField(
model_name='plans',
name='wed',
field=models.CharField(max_length=5, null=True),
),
]
|
[
"rohanmodi@outlook.in"
] |
rohanmodi@outlook.in
|
32c0b78505d9c4f93b6dbf211d52a7080cc44a51
|
1d3bcd3d8b2d9584792f67d5372bd61eff94d6fc
|
/superlists/superlists/settings.py
|
465c3b9b6a045e4876ada099b4470ded7f41dd1b
|
[] |
no_license
|
goutham2027/pytdd
|
e4f37f151f98cb15eef71469dfb6f4da53c2ab1e
|
168be74af7ed1613aa3be9d774abb44f05639d8b
|
refs/heads/master
| 2021-01-13T12:44:42.980052
| 2016-11-02T11:15:18
| 2016-11-02T11:15:18
| 72,527,179
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,108
|
py
|
"""
Django settings for superlists project.
Generated by 'django-admin startproject' using Django 1.10.2.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.10/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.10/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'g0$)pe*jg(2rrbe7ersnd1uj0i()!$vyz-(+q$wx4a2c4szyy='
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'superlists.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'superlists.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.10/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Password validation
# https://docs.djangoproject.com/en/1.10/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/1.10/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.10/howto/static-files/
STATIC_URL = '/static/'
|
[
"goutham2027@gmail.com"
] |
goutham2027@gmail.com
|
31ee53755adac2a4f3f31998539b3588933a1b62
|
edc7d4acbc4cc3851422be34a60e7eaaf403f34d
|
/society/migrations/0002_recharge.py
|
dcda0b9e79801f13ce0ffa64e2ff6bec933b0d34
|
[] |
no_license
|
CHENLiangxu/badminton-society
|
869bddfa971a98c1c9d8f749fc632435b88ca99d
|
b735c06fdbafb6ad53ffddab4b5ae1c5f03f73f7
|
refs/heads/master
| 2016-09-01T03:44:41.565268
| 2016-02-26T14:51:41
| 2016-02-26T14:51:41
| 50,294,662
| 0
| 1
| null | 2016-02-26T14:11:27
| 2016-01-24T15:48:06
|
JavaScript
|
UTF-8
|
Python
| false
| false
| 779
|
py
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('society', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Recharge',
fields=[
('id', models.AutoField(verbose_name='ID', serialize=False, auto_created=True, primary_key=True)),
('comment', models.CharField(max_length=200, null=True)),
('price', models.FloatField()),
('created_at', models.DateTimeField()),
('member', models.ForeignKey(to='society.Member')),
],
options={
},
bases=(models.Model,),
),
]
|
[
"chenliangxu68@gmail.com"
] |
chenliangxu68@gmail.com
|
014f5f97fdc07633f6db5a4021c23e1b80753136
|
91227a62ed0f36fe82f7a66ca76e686694ba2926
|
/python/file.py
|
0adffdba56482629ffe3e8159c60621a6e5b9f7a
|
[] |
no_license
|
TY-sky/NOTE
|
48cf74df0ca786859e23d85d6a90662f5a983040
|
1b505fe0a5b659024277c2da8630b6cf62542ac2
|
refs/heads/master
| 2021-08-22T06:50:02.114077
| 2020-03-19T15:09:07
| 2020-03-19T15:09:07
| 135,244,400
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 231
|
py
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
' a test module '
__author__ = 'TY'
fpath = r'C:\py\test.ini'
with open(fpath, 'a') as f:
f.write('Hello, world!')
with open(fpath, 'r') as f:
s = f.read()
print(s)
|
[
"986181043@qq.com"
] |
986181043@qq.com
|
d2e0741b18952a435edfa1fa4ec20a5d9c97fc37
|
3bdd3312d4f26ed050222b38491c2091774c9ccc
|
/system/firstpart/urls.py
|
f86f1cd187bcb39be6b27bbf1fb49729444eb836
|
[] |
no_license
|
vanesa1999/pythonProject16
|
f67a5026dfaf457a5c1298cb4917488786ef5a10
|
efe603f2a4100172b3cc654c54aefa2a6ed3dddd
|
refs/heads/master
| 2023-04-12T21:32:33.284936
| 2021-05-10T09:21:20
| 2021-05-10T09:21:20
| 365,985,525
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 766
|
py
|
from django.db import models
from django.contrib.auth.models import User
Pozicionet= ['HR', 'Pergjegjes Departamenti', 'Punonjes Departamenti']
Gjinia= ['Femer', 'MAshkull']
Status= ['Aktiv', 'Joaktiv']
class Punonjes(models.Model):
username= models.OneToOneField(User, null= True, on_delete=models.SET_NULL )
emer= models.CharField(max_length=100)
mbiemer= models.CharField(max_length=100)
data_e_fillimit= models.DateField()
data_e_mbarimit= models.DateField( blank=True)
pozicioni= models.CharField(choices=Pozicionet, max_length=100)
gjinia= models.CharField(choices=Gjinia, max_length=100)
numri_i_telefonit= models.CharField(blank=True, default='', max_length=10)
statusi= models.CharField(choices=Status, max_length=100)
|
[
"vanesa.ziu@fti.edu.al"
] |
vanesa.ziu@fti.edu.al
|
b3e42e5c8c45508dae29b2dcbc3b119b8eb9ed1f
|
a6d7f53090958b9bf0f4f0790522f409394f2651
|
/Mazzei/grammar.py
|
aab5a2628c539d23df1b7e5d32c3d310f3ce8c45
|
[] |
no_license
|
Pep12345/TLN
|
31498035e815138d258941800f4daed54baba866
|
6b609182a6454100c75cad9d3033f3d7f1f0e79d
|
refs/heads/master
| 2023-08-22T23:26:25.292103
| 2021-10-28T12:44:18
| 2021-10-28T12:44:18
| 376,309,747
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,403
|
py
|
import os
from collections import defaultdict
class Grammar:
lexical_rules = defaultdict(set)
syn_rules = defaultdict(set)
def __init__(self, text_file):
dir = os.path.dirname(os.path.abspath(__file__))
with open(dir + '/' + text_file, "r") as cfg:
while cfg:
line = cfg.readline()
if line == "":
break
line = line.replace('| ', '|').replace(' |', '|').replace('\n', '').split('->')
for body in line[1].split('|'):
self.add_rule(line[0], body)
def add_rule(self, head, body):
if body[0] == '\'':
self.lexical_rules[body.replace('\'','').lower()].add(head)
else:
self.syn_rules[body].add(head)
#Get testa regola dato corpo
def get_rules_for_word(self, word):
return list(self.lexical_rules.get(word.lower()) if self.lexical_rules.__contains__(word.lower()) else [])
def get_rules_for_tag(self, tag):
return list(self.syn_rules.get(tag) if self.syn_rules.__contains__(tag) else [])
def print(self):
print("Lexical ruels:")
for k, v in self.lexical_rules.items():
for v1 in v:
print(v1+'->'+k)
print("\n\nSyn rules")
for k,v in self.syn_rules.items():
for v1 in v:
print(v1 + '->' + k)
|
[
"giuv360@hotmail.it"
] |
giuv360@hotmail.it
|
f7c60adba3d30aed5acc0243f3a4bef6f0d7648f
|
e80b42fbc5f109f3979537a980eb4ea12668579e
|
/modules/process/popen_write.py
|
e1b49c189535d593455ad0b476331bf14a19ce09
|
[] |
no_license
|
iliefa/pythontries
|
63bc38042797a47407a0e99a0c20816a8710027b
|
7ee793c6a248bc98da495d5936290c476bf4d77c
|
refs/heads/master
| 2020-11-25T11:13:46.212549
| 2019-12-18T11:56:08
| 2019-12-18T11:56:08
| 228,633,223
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 159
|
py
|
import subprocess
print('write')
proc = subprocess.Popen(
['cat','-'],
stdin=subprocess.PIPE,
)
proc.communicate('stdin: to sdtin'.encode('utf-8'))
|
[
"andrei.ilief@orange.com"
] |
andrei.ilief@orange.com
|
213c7dd3cb92010cf3a3b96e688a8d02dae66651
|
3e0341c10981b49d15c3fb458f63de59357a821b
|
/venv/bin/sqlformat
|
2a8b330f546a7b10d3c591e83eca7feae447af9f
|
[] |
no_license
|
sagarsmn331/meon-task3
|
555f0562c036693b8e728946e01e213d1e3bdf8a
|
18c2e8389ee8d2bbbe18e506ccbb6d003c4ed2cf
|
refs/heads/master
| 2022-12-02T11:54:03.125091
| 2020-08-18T11:28:35
| 2020-08-18T11:28:35
| 288,436,935
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 234
|
#!/home/sagar/meon5/venv/bin/python3
# -*- coding: utf-8 -*-
import re
import sys
from sqlparse.__main__ import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
|
[
"sagar.innotical@gmail.com"
] |
sagar.innotical@gmail.com
|
|
4f3699246dd66e71b0d500dd92e454bfe9a81cce
|
27cb6f34181ab317531a592036505105b43f5871
|
/PGL/scripts/graphs/nvidia_4_2_MatVecMul_MatVecMulCoalesced1.py
|
ed669c572c05dc4b18a3ac986d9066ccda8e65ec
|
[] |
no_license
|
xiaoyao0512/PGL_v2
|
0a0b70d807ea6b5b40430f438e3f8431846a2009
|
605cd88813c8ec805bdb44a0aa3739d850cf3116
|
refs/heads/master
| 2023-07-15T23:47:43.959936
| 2021-08-13T03:27:02
| 2021-08-13T03:27:02
| 392,099,888
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 38,984
|
py
|
import networkx as nx
import dgl
def nvidia_4_2_MatVecMul_MatVecMulCoalesced1():
NXG = nx.DiGraph()
NXG.add_edge(186, 200, weight=1)
NXG.add_node(186, w=1)
NXG.add_node(200, w=1)
NXG.add_edge(137, 139, weight=1)
NXG.add_node(137, w=1)
NXG.add_node(139, w=1)
NXG.add_edge(56, 57, weight=1)
NXG.add_node(56, w=1)
NXG.add_node(57, w=1)
NXG.add_edge(182, 183, weight=1)
NXG.add_node(182, w=1)
NXG.add_node(183, w=1)
NXG.add_edge(83, 85, weight=1)
NXG.add_node(83, w=1)
NXG.add_node(85, w=1)
NXG.add_edge(348, 349, weight=13)
NXG.add_node(348, w=13)
NXG.add_node(349, w=13)
NXG.add_edge(34, 47, weight=9)
NXG.add_node(34, w=9)
NXG.add_node(47, w=9)
NXG.add_edge(184, 189, weight=1)
NXG.add_node(184, w=1)
NXG.add_node(189, w=1)
NXG.add_edge(184, 194, weight=1)
NXG.add_node(184, w=1)
NXG.add_node(194, w=1)
NXG.add_edge(184, 268, weight=1)
NXG.add_node(184, w=1)
NXG.add_node(268, w=1)
NXG.add_edge(184, 273, weight=14)
NXG.add_node(184, w=14)
NXG.add_node(273, w=14)
NXG.add_edge(201, 275, weight=1)
NXG.add_node(201, w=1)
NXG.add_node(275, w=1)
NXG.add_edge(167, 168, weight=1)
NXG.add_node(167, w=1)
NXG.add_node(168, w=1)
NXG.add_edge(375, 376, weight=1)
NXG.add_node(375, w=1)
NXG.add_node(376, w=1)
NXG.add_edge(149, 150, weight=1)
NXG.add_node(149, w=1)
NXG.add_node(150, w=1)
NXG.add_edge(3, 9, weight=183)
NXG.add_node(3, w=183)
NXG.add_node(9, w=183)
NXG.add_edge(71, 243, weight=1)
NXG.add_node(71, w=1)
NXG.add_node(243, w=1)
NXG.add_edge(339, 340, weight=1)
NXG.add_node(339, w=1)
NXG.add_node(340, w=1)
NXG.add_edge(42, 53, weight=1)
NXG.add_node(42, w=1)
NXG.add_node(53, w=1)
NXG.add_edge(42, 61, weight=1)
NXG.add_node(42, w=1)
NXG.add_node(61, w=1)
NXG.add_edge(42, 83, weight=1)
NXG.add_node(42, w=1)
NXG.add_node(83, w=1)
NXG.add_edge(42, 226, weight=1)
NXG.add_node(42, w=1)
NXG.add_node(226, w=1)
NXG.add_edge(42, 234, weight=1)
NXG.add_node(42, w=1)
NXG.add_node(234, w=1)
NXG.add_edge(42, 256, weight=1)
NXG.add_node(42, w=1)
NXG.add_node(256, w=1)
NXG.add_edge(237, 251, weight=1)
NXG.add_node(237, w=1)
NXG.add_node(251, w=1)
NXG.add_edge(265, 266, weight=1)
NXG.add_node(265, w=1)
NXG.add_node(266, w=1)
NXG.add_edge(265, 270, weight=1)
NXG.add_node(265, w=1)
NXG.add_node(270, w=1)
NXG.add_edge(265, 282, weight=1)
NXG.add_node(265, w=1)
NXG.add_node(282, w=1)
NXG.add_edge(265, 291, weight=1)
NXG.add_node(265, w=1)
NXG.add_node(291, w=1)
NXG.add_edge(265, 293, weight=15)
NXG.add_node(265, w=15)
NXG.add_node(293, w=15)
NXG.add_edge(174, 175, weight=1)
NXG.add_node(174, w=1)
NXG.add_node(175, w=1)
NXG.add_edge(209, 217, weight=12)
NXG.add_node(209, w=12)
NXG.add_node(217, w=12)
NXG.add_edge(93, 94, weight=1)
NXG.add_node(93, w=1)
NXG.add_node(94, w=1)
NXG.add_edge(384, 388, weight=1)
NXG.add_node(384, w=1)
NXG.add_node(388, w=1)
NXG.add_edge(204, 205, weight=1)
NXG.add_node(204, w=1)
NXG.add_node(205, w=1)
NXG.add_edge(204, 265, weight=116)
NXG.add_node(204, w=116)
NXG.add_node(265, w=116)
NXG.add_edge(326, 327, weight=1)
NXG.add_node(326, w=1)
NXG.add_node(327, w=1)
NXG.add_edge(95, 101, weight=1)
NXG.add_node(95, w=1)
NXG.add_node(101, w=1)
NXG.add_edge(38, 92, weight=75)
NXG.add_node(38, w=75)
NXG.add_node(92, w=75)
NXG.add_edge(350, 351, weight=1)
NXG.add_node(350, w=1)
NXG.add_node(351, w=1)
NXG.add_edge(36, 59, weight=75)
NXG.add_node(36, w=75)
NXG.add_node(59, w=75)
NXG.add_edge(254, 255, weight=13)
NXG.add_node(254, w=13)
NXG.add_node(255, w=13)
NXG.add_edge(153, 154, weight=1)
NXG.add_node(153, w=1)
NXG.add_node(154, w=1)
NXG.add_edge(48, 50, weight=1)
NXG.add_node(48, w=1)
NXG.add_node(50, w=1)
NXG.add_edge(9, 16, weight=1)
NXG.add_node(9, w=1)
NXG.add_node(16, w=1)
NXG.add_edge(9, 21, weight=13)
NXG.add_node(9, w=13)
NXG.add_node(21, w=13)
NXG.add_edge(347, 348, weight=1)
NXG.add_node(347, w=1)
NXG.add_node(348, w=1)
NXG.add_edge(188, 276, weight=1)
NXG.add_node(188, w=1)
NXG.add_node(276, w=1)
NXG.add_edge(210, 382, weight=1)
NXG.add_node(210, w=1)
NXG.add_node(382, w=1)
NXG.add_edge(393, 395, weight=1)
NXG.add_node(393, w=1)
NXG.add_node(395, w=1)
NXG.add_edge(28, 41, weight=13)
NXG.add_node(28, w=13)
NXG.add_node(41, w=13)
NXG.add_edge(134, 144, weight=1)
NXG.add_node(134, w=1)
NXG.add_node(144, w=1)
NXG.add_edge(238, 250, weight=1)
NXG.add_node(238, w=1)
NXG.add_node(250, w=1)
NXG.add_edge(141, 163, weight=1)
NXG.add_node(141, w=1)
NXG.add_node(163, w=1)
NXG.add_edge(363, 373, weight=1)
NXG.add_node(363, w=1)
NXG.add_node(373, w=1)
NXG.add_edge(116, 117, weight=6)
NXG.add_node(116, w=6)
NXG.add_node(117, w=6)
NXG.add_edge(62, 63, weight=1)
NXG.add_node(62, w=1)
NXG.add_node(63, w=1)
NXG.add_edge(382, 390, weight=15)
NXG.add_node(382, w=15)
NXG.add_node(390, w=15)
NXG.add_edge(271, 272, weight=1)
NXG.add_node(271, w=1)
NXG.add_node(272, w=1)
NXG.add_edge(196, 197, weight=1)
NXG.add_node(196, w=1)
NXG.add_node(197, w=1)
NXG.add_edge(54, 56, weight=1)
NXG.add_node(54, w=1)
NXG.add_node(56, w=1)
NXG.add_edge(40, 55, weight=1)
NXG.add_node(40, w=1)
NXG.add_node(55, w=1)
NXG.add_edge(40, 228, weight=1)
NXG.add_node(40, w=1)
NXG.add_node(228, w=1)
NXG.add_edge(51, 60, weight=29)
NXG.add_node(51, w=29)
NXG.add_node(60, w=29)
NXG.add_edge(256, 258, weight=1)
NXG.add_node(256, w=1)
NXG.add_node(258, w=1)
NXG.add_edge(281, 308, weight=1)
NXG.add_node(281, w=1)
NXG.add_node(308, w=1)
NXG.add_edge(307, 317, weight=1)
NXG.add_node(307, w=1)
NXG.add_node(317, w=1)
NXG.add_edge(88, 90, weight=1)
NXG.add_node(88, w=1)
NXG.add_node(90, w=1)
NXG.add_edge(293, 294, weight=1)
NXG.add_node(293, w=1)
NXG.add_node(294, w=1)
NXG.add_edge(293, 298, weight=1)
NXG.add_node(293, w=1)
NXG.add_node(298, w=1)
NXG.add_edge(293, 310, weight=1)
NXG.add_node(293, w=1)
NXG.add_node(310, w=1)
NXG.add_edge(293, 319, weight=1)
NXG.add_node(293, w=1)
NXG.add_node(319, w=1)
NXG.add_edge(293, 321, weight=13)
NXG.add_node(293, w=13)
NXG.add_node(321, w=13)
NXG.add_edge(253, 254, weight=1)
NXG.add_node(253, w=1)
NXG.add_node(254, w=1)
NXG.add_edge(30, 43, weight=9)
NXG.add_node(30, w=9)
NXG.add_node(43, w=9)
NXG.add_edge(373, 374, weight=6)
NXG.add_node(373, w=6)
NXG.add_node(374, w=6)
NXG.add_edge(367, 368, weight=1)
NXG.add_node(367, w=1)
NXG.add_node(368, w=1)
NXG.add_edge(163, 190, weight=1)
NXG.add_node(163, w=1)
NXG.add_node(190, w=1)
NXG.add_edge(345, 346, weight=28)
NXG.add_node(345, w=28)
NXG.add_node(346, w=28)
NXG.add_edge(309, 336, weight=1)
NXG.add_node(309, w=1)
NXG.add_node(336, w=1)
NXG.add_edge(332, 346, weight=13)
NXG.add_node(332, w=13)
NXG.add_node(346, w=13)
NXG.add_edge(117, 130, weight=1)
NXG.add_node(117, w=1)
NXG.add_node(130, w=1)
NXG.add_edge(378, 379, weight=1)
NXG.add_node(378, w=1)
NXG.add_node(379, w=1)
NXG.add_edge(39, 95, weight=1)
NXG.add_node(39, w=1)
NXG.add_node(95, w=1)
NXG.add_edge(39, 100, weight=13)
NXG.add_node(39, w=13)
NXG.add_node(100, w=13)
NXG.add_edge(123, 129, weight=1)
NXG.add_node(123, w=1)
NXG.add_node(129, w=1)
NXG.add_edge(261, 263, weight=1)
NXG.add_node(261, w=1)
NXG.add_node(263, w=1)
NXG.add_edge(79, 89, weight=1)
NXG.add_node(79, w=1)
NXG.add_node(89, w=1)
NXG.add_edge(79, 232, weight=157)
NXG.add_node(79, w=157)
NXG.add_node(232, w=157)
NXG.add_edge(371, 372, weight=1)
NXG.add_node(371, w=1)
NXG.add_node(372, w=1)
NXG.add_edge(19, 40, weight=19)
NXG.add_node(19, w=19)
NXG.add_node(40, w=19)
NXG.add_edge(106, 116, weight=1)
NXG.add_node(106, w=1)
NXG.add_node(116, w=1)
NXG.add_edge(359, 373, weight=1)
NXG.add_node(359, w=1)
NXG.add_node(373, w=1)
NXG.add_edge(275, 289, weight=1)
NXG.add_node(275, w=1)
NXG.add_node(289, w=1)
NXG.add_edge(368, 369, weight=1)
NXG.add_node(368, w=1)
NXG.add_node(369, w=1)
NXG.add_edge(306, 315, weight=1)
NXG.add_node(306, w=1)
NXG.add_node(315, w=1)
NXG.add_edge(21, 42, weight=5)
NXG.add_node(21, w=5)
NXG.add_node(42, w=5)
NXG.add_edge(391, 392, weight=1)
NXG.add_node(391, w=1)
NXG.add_node(392, w=1)
NXG.add_edge(317, 318, weight=18)
NXG.add_node(317, w=18)
NXG.add_node(318, w=18)
NXG.add_edge(385, 390, weight=30)
NXG.add_node(385, w=30)
NXG.add_node(390, w=30)
NXG.add_edge(200, 201, weight=24)
NXG.add_node(200, w=24)
NXG.add_node(201, w=24)
NXG.add_edge(74, 243, weight=1)
NXG.add_node(74, w=1)
NXG.add_node(243, w=1)
NXG.add_edge(130, 144, weight=1)
NXG.add_node(130, w=1)
NXG.add_node(144, w=1)
NXG.add_edge(73, 74, weight=1)
NXG.add_node(73, w=1)
NXG.add_node(74, w=1)
NXG.add_edge(283, 284, weight=1)
NXG.add_node(283, w=1)
NXG.add_node(284, w=1)
NXG.add_edge(394, 396, weight=1)
NXG.add_node(394, w=1)
NXG.add_node(396, w=1)
NXG.add_edge(92, 93, weight=1)
NXG.add_node(92, w=1)
NXG.add_node(93, w=1)
NXG.add_edge(92, 97, weight=1)
NXG.add_node(92, w=1)
NXG.add_node(97, w=1)
NXG.add_edge(92, 109, weight=1)
NXG.add_node(92, w=1)
NXG.add_node(109, w=1)
NXG.add_edge(92, 118, weight=1)
NXG.add_node(92, w=1)
NXG.add_node(118, w=1)
NXG.add_edge(92, 120, weight=15)
NXG.add_node(92, w=15)
NXG.add_node(120, w=15)
NXG.add_edge(68, 75, weight=1)
NXG.add_node(68, w=1)
NXG.add_node(75, w=1)
NXG.add_edge(356, 357, weight=5)
NXG.add_node(356, w=5)
NXG.add_node(357, w=5)
NXG.add_edge(233, 235, weight=1)
NXG.add_node(233, w=1)
NXG.add_node(235, w=1)
NXG.add_edge(233, 241, weight=1)
NXG.add_node(233, w=1)
NXG.add_node(241, w=1)
NXG.add_edge(233, 245, weight=1)
NXG.add_node(233, w=1)
NXG.add_node(245, w=1)
NXG.add_edge(233, 253, weight=1)
NXG.add_node(233, w=1)
NXG.add_node(253, w=1)
NXG.add_edge(233, 255, weight=15)
NXG.add_node(233, w=15)
NXG.add_node(255, w=15)
NXG.add_edge(55, 225, weight=1)
NXG.add_node(55, w=1)
NXG.add_node(225, w=1)
NXG.add_edge(115, 131, weight=1)
NXG.add_node(115, w=1)
NXG.add_node(131, w=1)
NXG.add_edge(353, 356, weight=1)
NXG.add_node(353, w=1)
NXG.add_node(356, w=1)
NXG.add_edge(224, 233, weight=32)
NXG.add_node(224, w=32)
NXG.add_node(233, w=32)
NXG.add_edge(166, 167, weight=1)
NXG.add_node(166, w=1)
NXG.add_node(167, w=1)
NXG.add_edge(64, 78, weight=1)
NXG.add_node(64, w=1)
NXG.add_node(78, w=1)
NXG.add_edge(207, 208, weight=1)
NXG.add_node(207, w=1)
NXG.add_node(208, w=1)
NXG.add_edge(193, 195, weight=1)
NXG.add_node(193, w=1)
NXG.add_node(195, w=1)
NXG.add_edge(234, 236, weight=1)
NXG.add_node(234, w=1)
NXG.add_node(236, w=1)
NXG.add_edge(126, 127, weight=1)
NXG.add_node(126, w=1)
NXG.add_node(127, w=1)
NXG.add_edge(292, 293, weight=15)
NXG.add_node(292, w=15)
NXG.add_node(293, w=15)
NXG.add_edge(220, 222, weight=1)
NXG.add_node(220, w=1)
NXG.add_node(222, w=1)
NXG.add_edge(220, 227, weight=1)
NXG.add_node(220, w=1)
NXG.add_node(227, w=1)
NXG.add_edge(220, 384, weight=1)
NXG.add_node(220, w=1)
NXG.add_node(384, w=1)
NXG.add_edge(220, 391, weight=1)
NXG.add_node(220, w=1)
NXG.add_node(391, w=1)
NXG.add_edge(220, 393, weight=9)
NXG.add_node(220, w=9)
NXG.add_node(393, w=9)
NXG.add_edge(135, 162, weight=1)
NXG.add_node(135, w=1)
NXG.add_node(162, w=1)
NXG.add_edge(270, 271, weight=1)
NXG.add_node(270, w=1)
NXG.add_node(271, w=1)
NXG.add_edge(20, 41, weight=2)
NXG.add_node(20, w=2)
NXG.add_node(41, w=2)
NXG.add_edge(70, 242, weight=1)
NXG.add_node(70, w=1)
NXG.add_node(242, w=1)
NXG.add_edge(180, 183, weight=1)
NXG.add_node(180, w=1)
NXG.add_node(183, w=1)
NXG.add_edge(242, 250, weight=1)
NXG.add_node(242, w=1)
NXG.add_node(250, w=1)
NXG.add_edge(46, 51, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(51, w=1)
NXG.add_edge(46, 88, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(88, w=1)
NXG.add_edge(46, 96, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(96, w=1)
NXG.add_edge(46, 124, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(124, w=1)
NXG.add_edge(46, 152, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(152, w=1)
NXG.add_edge(46, 180, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(180, w=1)
NXG.add_edge(46, 207, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(207, w=1)
NXG.add_edge(46, 224, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(224, w=1)
NXG.add_edge(46, 261, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(261, w=1)
NXG.add_edge(46, 269, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(269, w=1)
NXG.add_edge(46, 297, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(297, w=1)
NXG.add_edge(46, 325, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(325, w=1)
NXG.add_edge(46, 353, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(353, w=1)
NXG.add_edge(46, 380, weight=1)
NXG.add_node(46, w=1)
NXG.add_node(380, w=1)
NXG.add_edge(304, 318, weight=10)
NXG.add_node(304, w=10)
NXG.add_node(318, w=10)
NXG.add_edge(29, 42, weight=11)
NXG.add_node(29, w=11)
NXG.add_node(42, w=11)
NXG.add_edge(392, 393, weight=31)
NXG.add_node(392, w=31)
NXG.add_node(393, w=31)
NXG.add_edge(140, 141, weight=1)
NXG.add_node(140, w=1)
NXG.add_node(141, w=1)
NXG.add_edge(301, 306, weight=1)
NXG.add_node(301, w=1)
NXG.add_node(306, w=1)
NXG.add_edge(301, 311, weight=1)
NXG.add_node(301, w=1)
NXG.add_node(311, w=1)
NXG.add_edge(301, 324, weight=1)
NXG.add_node(301, w=1)
NXG.add_node(324, w=1)
NXG.add_edge(301, 329, weight=15)
NXG.add_node(301, w=15)
NXG.add_node(329, w=15)
NXG.add_edge(343, 344, weight=1)
NXG.add_node(343, w=1)
NXG.add_node(344, w=1)
NXG.add_edge(131, 145, weight=10)
NXG.add_node(131, w=10)
NXG.add_node(145, w=10)
NXG.add_edge(113, 135, weight=1)
NXG.add_node(113, w=1)
NXG.add_node(135, w=1)
NXG.add_edge(164, 191, weight=1)
NXG.add_node(164, w=1)
NXG.add_node(191, w=1)
NXG.add_edge(89, 91, weight=28)
NXG.add_node(89, w=28)
NXG.add_node(91, w=28)
NXG.add_edge(76, 239, weight=1)
NXG.add_node(76, w=1)
NXG.add_node(239, w=1)
NXG.add_edge(280, 307, weight=1)
NXG.add_node(280, w=1)
NXG.add_node(307, w=1)
NXG.add_edge(176, 177, weight=1)
NXG.add_node(176, w=1)
NXG.add_node(177, w=1)
NXG.add_edge(176, 181, weight=1)
NXG.add_node(176, w=1)
NXG.add_node(181, w=1)
NXG.add_edge(176, 193, weight=1)
NXG.add_node(176, w=1)
NXG.add_node(193, w=1)
NXG.add_edge(176, 202, weight=1)
NXG.add_node(176, w=1)
NXG.add_node(202, w=1)
NXG.add_edge(176, 204, weight=13)
NXG.add_node(176, w=13)
NXG.add_node(204, w=13)
NXG.add_edge(346, 359, weight=1)
NXG.add_node(346, w=1)
NXG.add_node(359, w=1)
NXG.add_edge(231, 244, weight=1)
NXG.add_node(231, w=1)
NXG.add_node(244, w=1)
NXG.add_edge(333, 360, weight=1)
NXG.add_node(333, w=1)
NXG.add_node(360, w=1)
NXG.add_edge(111, 112, weight=1)
NXG.add_node(111, w=1)
NXG.add_node(112, w=1)
NXG.add_edge(241, 248, weight=1)
NXG.add_node(241, w=1)
NXG.add_node(248, w=1)
NXG.add_edge(259, 264, weight=15)
NXG.add_node(259, w=15)
NXG.add_node(264, w=15)
NXG.add_edge(362, 371, weight=1)
NXG.add_node(362, w=1)
NXG.add_node(371, w=1)
NXG.add_edge(291, 292, weight=1)
NXG.add_node(291, w=1)
NXG.add_node(292, w=1)
NXG.add_edge(128, 133, weight=1)
NXG.add_node(128, w=1)
NXG.add_node(133, w=1)
NXG.add_edge(128, 138, weight=1)
NXG.add_node(128, w=1)
NXG.add_node(138, w=1)
NXG.add_edge(128, 151, weight=1)
NXG.add_node(128, w=1)
NXG.add_node(151, w=1)
NXG.add_edge(128, 156, weight=12)
NXG.add_node(128, w=12)
NXG.add_node(156, w=12)
NXG.add_edge(189, 198, weight=1)
NXG.add_node(189, w=1)
NXG.add_node(198, w=1)
NXG.add_edge(213, 385, weight=1)
NXG.add_node(213, w=1)
NXG.add_node(385, w=1)
NXG.add_edge(152, 155, weight=1)
NXG.add_node(152, w=1)
NXG.add_node(155, w=1)
NXG.add_edge(45, 87, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(87, w=1)
NXG.add_edge(45, 104, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(104, w=1)
NXG.add_edge(45, 108, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(108, w=1)
NXG.add_edge(45, 132, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(132, w=1)
NXG.add_edge(45, 136, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(136, w=1)
NXG.add_edge(45, 160, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(160, w=1)
NXG.add_edge(45, 164, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(164, w=1)
NXG.add_edge(45, 188, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(188, w=1)
NXG.add_edge(45, 192, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(192, w=1)
NXG.add_edge(45, 214, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(214, w=1)
NXG.add_edge(45, 260, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(260, w=1)
NXG.add_edge(45, 277, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(277, w=1)
NXG.add_edge(45, 281, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(281, w=1)
NXG.add_edge(45, 305, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(305, w=1)
NXG.add_edge(45, 309, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(309, w=1)
NXG.add_edge(45, 333, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(333, w=1)
NXG.add_edge(45, 337, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(337, w=1)
NXG.add_edge(45, 361, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(361, w=1)
NXG.add_edge(45, 365, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(365, w=1)
NXG.add_edge(45, 387, weight=1)
NXG.add_node(45, w=1)
NXG.add_node(387, w=1)
NXG.add_edge(158, 172, weight=1)
NXG.add_node(158, w=1)
NXG.add_node(172, w=1)
NXG.add_edge(170, 171, weight=1)
NXG.add_node(170, w=1)
NXG.add_node(171, w=1)
NXG.add_edge(262, 264, weight=21)
NXG.add_node(262, w=21)
NXG.add_node(264, w=21)
NXG.add_edge(199, 276, weight=1)
NXG.add_node(199, w=1)
NXG.add_node(276, w=1)
NXG.add_edge(355, 356, weight=1)
NXG.add_node(355, w=1)
NXG.add_node(356, w=1)
NXG.add_edge(211, 215, weight=1)
NXG.add_node(211, w=1)
NXG.add_node(215, w=1)
NXG.add_edge(133, 142, weight=1)
NXG.add_node(133, w=1)
NXG.add_node(142, w=1)
NXG.add_edge(202, 203, weight=1)
NXG.add_node(202, w=1)
NXG.add_node(203, w=1)
NXG.add_edge(49, 50, weight=1)
NXG.add_node(49, w=1)
NXG.add_node(50, w=1)
NXG.add_edge(66, 238, weight=1)
NXG.add_node(66, w=1)
NXG.add_node(238, w=1)
NXG.add_edge(360, 374, weight=9)
NXG.add_node(360, w=9)
NXG.add_node(374, w=9)
NXG.add_edge(10, 15, weight=1)
NXG.add_node(10, w=1)
NXG.add_node(15, w=1)
NXG.add_edge(10, 22, weight=15)
NXG.add_node(10, w=15)
NXG.add_node(22, w=15)
NXG.add_edge(169, 191, weight=1)
NXG.add_node(169, w=1)
NXG.add_node(191, w=1)
NXG.add_edge(127, 128, weight=5)
NXG.add_node(127, w=5)
NXG.add_node(128, w=5)
NXG.add_edge(315, 316, weight=1)
NXG.add_node(315, w=1)
NXG.add_node(316, w=1)
NXG.add_edge(268, 274, weight=1)
NXG.add_node(268, w=1)
NXG.add_node(274, w=1)
NXG.add_edge(269, 272, weight=1)
NXG.add_node(269, w=1)
NXG.add_node(272, w=1)
NXG.add_edge(84, 85, weight=1)
NXG.add_node(84, w=1)
NXG.add_node(85, w=1)
NXG.add_edge(226, 229, weight=1)
NXG.add_node(226, w=1)
NXG.add_node(229, w=1)
NXG.add_edge(354, 355, weight=1)
NXG.add_node(354, w=1)
NXG.add_node(355, w=1)
NXG.add_edge(41, 67, weight=1)
NXG.add_node(41, w=1)
NXG.add_node(67, w=1)
NXG.add_edge(41, 240, weight=1)
NXG.add_node(41, w=1)
NXG.add_node(240, w=1)
NXG.add_edge(290, 303, weight=1)
NXG.add_node(290, w=1)
NXG.add_node(303, w=1)
NXG.add_edge(98, 99, weight=1)
NXG.add_node(98, w=1)
NXG.add_node(99, w=1)
NXG.add_edge(320, 321, weight=2)
NXG.add_node(320, w=2)
NXG.add_node(321, w=2)
NXG.add_edge(282, 284, weight=1)
NXG.add_node(282, w=1)
NXG.add_node(284, w=1)
NXG.add_edge(329, 334, weight=1)
NXG.add_node(329, w=1)
NXG.add_node(334, w=1)
NXG.add_edge(329, 339, weight=1)
NXG.add_node(329, w=1)
NXG.add_node(339, w=1)
NXG.add_edge(329, 352, weight=1)
NXG.add_node(329, w=1)
NXG.add_node(352, w=1)
NXG.add_edge(329, 357, weight=8)
NXG.add_node(329, w=8)
NXG.add_node(357, w=8)
NXG.add_edge(103, 117, weight=10)
NXG.add_node(103, w=10)
NXG.add_node(117, w=10)
NXG.add_edge(110, 111, weight=1)
NXG.add_node(110, w=1)
NXG.add_node(111, w=1)
NXG.add_edge(342, 364, weight=1)
NXG.add_node(342, w=1)
NXG.add_node(364, w=1)
NXG.add_edge(112, 113, weight=1)
NXG.add_node(112, w=1)
NXG.add_node(113, w=1)
NXG.add_edge(90, 259, weight=1)
NXG.add_node(90, w=1)
NXG.add_node(259, w=1)
NXG.add_edge(197, 280, weight=1)
NXG.add_node(197, w=1)
NXG.add_node(280, w=1)
NXG.add_edge(214, 386, weight=1)
NXG.add_node(214, w=1)
NXG.add_node(386, w=1)
NXG.add_edge(313, 314, weight=1)
NXG.add_node(313, w=1)
NXG.add_node(314, w=1)
NXG.add_edge(298, 299, weight=1)
NXG.add_node(298, w=1)
NXG.add_node(299, w=1)
NXG.add_edge(105, 114, weight=1)
NXG.add_node(105, w=1)
NXG.add_node(114, w=1)
NXG.add_edge(337, 364, weight=1)
NXG.add_node(337, w=1)
NXG.add_node(364, w=1)
NXG.add_edge(303, 317, weight=1)
NXG.add_node(303, w=1)
NXG.add_node(317, w=1)
NXG.add_edge(344, 360, weight=1)
NXG.add_node(344, w=1)
NXG.add_node(360, w=1)
NXG.add_edge(136, 163, weight=1)
NXG.add_node(136, w=1)
NXG.add_node(163, w=1)
NXG.add_edge(335, 345, weight=1)
NXG.add_node(335, w=1)
NXG.add_node(345, w=1)
NXG.add_edge(272, 273, weight=2)
NXG.add_node(272, w=2)
NXG.add_node(273, w=2)
NXG.add_edge(6, 12, weight=1)
NXG.add_node(6, w=1)
NXG.add_node(12, w=1)
NXG.add_edge(6, 13, weight=1)
NXG.add_node(6, w=1)
NXG.add_node(13, w=1)
NXG.add_edge(6, 24, weight=13)
NXG.add_node(6, w=13)
NXG.add_node(24, w=13)
NXG.add_edge(77, 78, weight=1)
NXG.add_node(77, w=1)
NXG.add_node(78, w=1)
NXG.add_edge(216, 382, weight=1)
NXG.add_node(216, w=1)
NXG.add_node(382, w=1)
NXG.add_edge(340, 341, weight=1)
NXG.add_node(340, w=1)
NXG.add_node(341, w=1)
NXG.add_edge(341, 342, weight=1)
NXG.add_node(341, w=1)
NXG.add_node(342, w=1)
NXG.add_edge(198, 199, weight=1)
NXG.add_node(198, w=1)
NXG.add_node(199, w=1)
NXG.add_edge(142, 143, weight=1)
NXG.add_node(142, w=1)
NXG.add_node(143, w=1)
NXG.add_edge(338, 340, weight=1)
NXG.add_node(338, w=1)
NXG.add_node(340, w=1)
NXG.add_edge(151, 157, weight=1)
NXG.add_node(151, w=1)
NXG.add_node(157, w=1)
NXG.add_edge(376, 377, weight=27)
NXG.add_node(376, w=27)
NXG.add_node(377, w=27)
NXG.add_edge(171, 187, weight=1)
NXG.add_node(171, w=1)
NXG.add_node(187, w=1)
NXG.add_edge(380, 381, weight=1)
NXG.add_node(380, w=1)
NXG.add_node(381, w=1)
NXG.add_edge(35, 58, weight=14)
NXG.add_node(35, w=14)
NXG.add_node(58, w=14)
NXG.add_edge(388, 389, weight=1)
NXG.add_node(388, w=1)
NXG.add_node(389, w=1)
NXG.add_edge(52, 58, weight=9)
NXG.add_node(52, w=9)
NXG.add_node(58, w=9)
NXG.add_edge(324, 330, weight=1)
NXG.add_node(324, w=1)
NXG.add_node(330, w=1)
NXG.add_edge(318, 331, weight=1)
NXG.add_node(318, w=1)
NXG.add_node(331, w=1)
NXG.add_edge(44, 210, weight=1)
NXG.add_node(44, w=1)
NXG.add_node(210, w=1)
NXG.add_edge(44, 383, weight=1)
NXG.add_node(44, w=1)
NXG.add_node(383, w=1)
NXG.add_edge(327, 328, weight=1)
NXG.add_node(327, w=1)
NXG.add_node(328, w=1)
NXG.add_edge(147, 148, weight=5)
NXG.add_node(147, w=5)
NXG.add_node(148, w=5)
NXG.add_edge(16, 21, weight=8)
NXG.add_node(16, w=8)
NXG.add_node(21, w=8)
NXG.add_edge(16, 25, weight=56)
NXG.add_node(16, w=56)
NXG.add_node(25, w=56)
NXG.add_edge(16, 52, weight=1)
NXG.add_node(16, w=1)
NXG.add_node(52, w=1)
NXG.add_edge(168, 169, weight=1)
NXG.add_node(168, w=1)
NXG.add_node(169, w=1)
NXG.add_edge(336, 363, weight=1)
NXG.add_node(336, w=1)
NXG.add_node(363, w=1)
NXG.add_edge(96, 99, weight=1)
NXG.add_node(96, w=1)
NXG.add_node(99, w=1)
NXG.add_edge(2, 8, weight=1)
NXG.add_node(2, w=1)
NXG.add_node(8, w=1)
NXG.add_edge(2, 17, weight=1)
NXG.add_node(2, w=1)
NXG.add_node(17, w=1)
NXG.add_edge(2, 20, weight=10)
NXG.add_node(2, w=10)
NXG.add_node(20, w=10)
NXG.add_edge(121, 122, weight=1)
NXG.add_node(121, w=1)
NXG.add_node(122, w=1)
NXG.add_edge(82, 84, weight=1)
NXG.add_node(82, w=1)
NXG.add_node(84, w=1)
NXG.add_edge(82, 233, weight=11)
NXG.add_node(82, w=11)
NXG.add_node(233, w=11)
NXG.add_edge(321, 322, weight=1)
NXG.add_node(321, w=1)
NXG.add_node(322, w=1)
NXG.add_edge(321, 326, weight=1)
NXG.add_node(321, w=1)
NXG.add_node(326, w=1)
NXG.add_edge(321, 338, weight=1)
NXG.add_node(321, w=1)
NXG.add_node(338, w=1)
NXG.add_edge(321, 347, weight=1)
NXG.add_node(321, w=1)
NXG.add_node(347, w=1)
NXG.add_edge(321, 349, weight=11)
NXG.add_node(321, w=11)
NXG.add_node(349, w=11)
NXG.add_edge(108, 135, weight=1)
NXG.add_node(108, w=1)
NXG.add_node(135, w=1)
NXG.add_edge(192, 280, weight=1)
NXG.add_node(192, w=1)
NXG.add_node(280, w=1)
NXG.add_edge(31, 44, weight=13)
NXG.add_node(31, w=13)
NXG.add_node(44, w=13)
NXG.add_edge(205, 206, weight=1)
NXG.add_node(205, w=1)
NXG.add_node(206, w=1)
NXG.add_edge(349, 350, weight=1)
NXG.add_node(349, w=1)
NXG.add_node(350, w=1)
NXG.add_edge(349, 354, weight=1)
NXG.add_node(349, w=1)
NXG.add_node(354, w=1)
NXG.add_edge(349, 366, weight=1)
NXG.add_node(349, w=1)
NXG.add_node(366, w=1)
NXG.add_edge(349, 375, weight=1)
NXG.add_node(349, w=1)
NXG.add_node(375, w=1)
NXG.add_edge(349, 377, weight=11)
NXG.add_node(349, w=11)
NXG.add_node(377, w=11)
NXG.add_edge(118, 119, weight=1)
NXG.add_node(118, w=1)
NXG.add_node(119, w=1)
NXG.add_edge(154, 155, weight=1)
NXG.add_node(154, w=1)
NXG.add_node(155, w=1)
NXG.add_edge(58, 71, weight=1)
NXG.add_node(58, w=1)
NXG.add_node(71, w=1)
NXG.add_edge(58, 231, weight=9)
NXG.add_node(58, w=9)
NXG.add_node(231, w=9)
NXG.add_edge(100, 105, weight=1)
NXG.add_node(100, w=1)
NXG.add_node(105, w=1)
NXG.add_edge(100, 110, weight=1)
NXG.add_node(100, w=1)
NXG.add_node(110, w=1)
NXG.add_edge(100, 123, weight=1)
NXG.add_node(100, w=1)
NXG.add_node(123, w=1)
NXG.add_edge(100, 128, weight=9)
NXG.add_node(100, w=9)
NXG.add_node(128, w=9)
NXG.add_edge(87, 259, weight=1)
NXG.add_node(87, w=1)
NXG.add_node(259, w=1)
NXG.add_edge(221, 223, weight=1)
NXG.add_node(221, w=1)
NXG.add_node(223, w=1)
NXG.add_edge(369, 370, weight=1)
NXG.add_node(369, w=1)
NXG.add_node(370, w=1)
NXG.add_edge(296, 302, weight=1)
NXG.add_node(296, w=1)
NXG.add_node(302, w=1)
NXG.add_edge(284, 285, weight=1)
NXG.add_node(284, w=1)
NXG.add_node(285, w=1)
NXG.add_edge(97, 98, weight=1)
NXG.add_node(97, w=1)
NXG.add_node(98, w=1)
NXG.add_edge(294, 295, weight=1)
NXG.add_node(294, w=1)
NXG.add_node(295, w=1)
NXG.add_edge(162, 172, weight=1)
NXG.add_node(162, w=1)
NXG.add_node(172, w=1)
NXG.add_edge(18, 19, weight=26)
NXG.add_node(18, w=26)
NXG.add_node(19, w=26)
NXG.add_edge(18, 25, weight=8)
NXG.add_node(18, w=8)
NXG.add_node(25, w=8)
NXG.add_edge(227, 229, weight=1)
NXG.add_node(227, w=1)
NXG.add_node(229, w=1)
NXG.add_edge(156, 161, weight=1)
NXG.add_node(156, w=1)
NXG.add_node(161, w=1)
NXG.add_edge(156, 166, weight=1)
NXG.add_node(156, w=1)
NXG.add_node(166, w=1)
NXG.add_edge(156, 179, weight=1)
NXG.add_node(156, w=1)
NXG.add_node(179, w=1)
NXG.add_edge(156, 184, weight=10)
NXG.add_node(156, w=10)
NXG.add_node(184, w=10)
NXG.add_edge(250, 251, weight=1)
NXG.add_node(250, w=1)
NXG.add_node(251, w=1)
NXG.add_edge(219, 220, weight=31)
NXG.add_node(219, w=31)
NXG.add_node(220, w=31)
NXG.add_edge(86, 91, weight=13)
NXG.add_node(86, w=13)
NXG.add_node(91, w=13)
NXG.add_edge(319, 320, weight=1)
NXG.add_node(319, w=1)
NXG.add_node(320, w=1)
NXG.add_edge(23, 44, weight=23)
NXG.add_node(23, w=23)
NXG.add_node(44, w=23)
NXG.add_edge(146, 147, weight=1)
NXG.add_node(146, w=1)
NXG.add_node(147, w=1)
NXG.add_edge(57, 225, weight=1)
NXG.add_node(57, w=1)
NXG.add_node(225, w=1)
NXG.add_edge(278, 287, weight=1)
NXG.add_node(278, w=1)
NXG.add_node(287, w=1)
NXG.add_edge(132, 159, weight=1)
NXG.add_node(132, w=1)
NXG.add_node(159, w=1)
NXG.add_edge(218, 219, weight=1)
NXG.add_node(218, w=1)
NXG.add_node(219, w=1)
NXG.add_edge(215, 216, weight=1)
NXG.add_node(215, w=1)
NXG.add_node(216, w=1)
NXG.add_edge(125, 126, weight=1)
NXG.add_node(125, w=1)
NXG.add_node(126, w=1)
NXG.add_edge(124, 127, weight=1)
NXG.add_node(124, w=1)
NXG.add_node(127, w=1)
NXG.add_edge(26, 47, weight=14)
NXG.add_node(26, w=14)
NXG.add_node(47, w=14)
NXG.add_edge(299, 300, weight=1)
NXG.add_node(299, w=1)
NXG.add_node(300, w=1)
NXG.add_edge(328, 329, weight=29)
NXG.add_node(328, w=29)
NXG.add_node(329, w=29)
NXG.add_edge(287, 288, weight=1)
NXG.add_node(287, w=1)
NXG.add_node(288, w=1)
NXG.add_edge(80, 81, weight=1)
NXG.add_node(80, w=1)
NXG.add_node(81, w=1)
NXG.add_edge(60, 62, weight=1)
NXG.add_node(60, w=1)
NXG.add_node(62, w=1)
NXG.add_edge(60, 68, weight=1)
NXG.add_node(60, w=1)
NXG.add_node(68, w=1)
NXG.add_edge(60, 72, weight=1)
NXG.add_node(60, w=1)
NXG.add_node(72, w=1)
NXG.add_edge(60, 80, weight=1)
NXG.add_node(60, w=1)
NXG.add_node(80, w=1)
NXG.add_edge(60, 82, weight=8)
NXG.add_node(60, w=8)
NXG.add_node(82, w=8)
NXG.add_edge(266, 267, weight=1)
NXG.add_node(266, w=1)
NXG.add_node(267, w=1)
NXG.add_edge(165, 167, weight=1)
NXG.add_node(165, w=1)
NXG.add_node(167, w=1)
NXG.add_edge(273, 278, weight=1)
NXG.add_node(273, w=1)
NXG.add_node(278, w=1)
NXG.add_edge(273, 283, weight=1)
NXG.add_node(273, w=1)
NXG.add_node(283, w=1)
NXG.add_edge(273, 296, weight=1)
NXG.add_node(273, w=1)
NXG.add_node(296, w=1)
NXG.add_edge(273, 301, weight=11)
NXG.add_node(273, w=11)
NXG.add_node(301, w=11)
NXG.add_edge(17, 20, weight=9)
NXG.add_node(17, w=9)
NXG.add_node(20, w=9)
NXG.add_edge(17, 25, weight=49)
NXG.add_node(17, w=49)
NXG.add_node(25, w=49)
NXG.add_edge(47, 49, weight=1)
NXG.add_node(47, w=1)
NXG.add_node(49, w=1)
NXG.add_edge(47, 54, weight=1)
NXG.add_node(47, w=1)
NXG.add_node(54, w=1)
NXG.add_edge(47, 211, weight=1)
NXG.add_node(47, w=1)
NXG.add_node(211, w=1)
NXG.add_edge(47, 218, weight=1)
NXG.add_node(47, w=1)
NXG.add_node(218, w=1)
NXG.add_edge(47, 220, weight=10)
NXG.add_node(47, w=10)
NXG.add_node(220, w=10)
NXG.add_edge(255, 257, weight=1)
NXG.add_node(255, w=1)
NXG.add_node(257, w=1)
NXG.add_edge(69, 77, weight=1)
NXG.add_node(69, w=1)
NXG.add_node(77, w=1)
NXG.add_edge(314, 336, weight=1)
NXG.add_node(314, w=1)
NXG.add_node(336, w=1)
NXG.add_edge(357, 362, weight=1)
NXG.add_node(357, w=1)
NXG.add_node(362, w=1)
NXG.add_edge(357, 367, weight=1)
NXG.add_node(357, w=1)
NXG.add_node(367, w=1)
NXG.add_edge(109, 111, weight=1)
NXG.add_node(109, w=1)
NXG.add_node(111, w=1)
NXG.add_edge(235, 236, weight=1)
NXG.add_node(235, w=1)
NXG.add_node(236, w=1)
NXG.add_edge(37, 60, weight=13)
NXG.add_node(37, w=13)
NXG.add_node(60, w=13)
NXG.add_edge(277, 304, weight=1)
NXG.add_node(277, w=1)
NXG.add_node(304, w=1)
NXG.add_edge(286, 308, weight=1)
NXG.add_node(286, w=1)
NXG.add_node(308, w=1)
NXG.add_edge(246, 247, weight=1)
NXG.add_node(246, w=1)
NXG.add_node(247, w=1)
NXG.add_edge(43, 48, weight=1)
NXG.add_node(43, w=1)
NXG.add_node(48, w=1)
NXG.add_edge(43, 221, weight=1)
NXG.add_node(43, w=1)
NXG.add_node(221, w=1)
NXG.add_edge(43, 394, weight=1)
NXG.add_node(43, w=1)
NXG.add_node(394, w=1)
NXG.add_edge(114, 115, weight=1)
NXG.add_node(114, w=1)
NXG.add_node(115, w=1)
NXG.add_edge(27, 40, weight=11)
NXG.add_node(27, w=11)
NXG.add_node(40, w=11)
NXG.add_edge(225, 231, weight=2)
NXG.add_node(225, w=2)
NXG.add_node(231, w=2)
NXG.add_edge(232, 237, weight=1)
NXG.add_node(232, w=1)
NXG.add_node(237, w=1)
NXG.add_edge(232, 252, weight=8)
NXG.add_node(232, w=8)
NXG.add_node(252, w=8)
NXG.add_edge(173, 186, weight=1)
NXG.add_node(173, w=1)
NXG.add_node(186, w=1)
NXG.add_edge(288, 304, weight=1)
NXG.add_node(288, w=1)
NXG.add_node(304, w=1)
NXG.add_edge(148, 149, weight=1)
NXG.add_node(148, w=1)
NXG.add_node(149, w=1)
NXG.add_edge(148, 153, weight=1)
NXG.add_node(148, w=1)
NXG.add_node(153, w=1)
NXG.add_edge(148, 165, weight=1)
NXG.add_node(148, w=1)
NXG.add_node(165, w=1)
NXG.add_edge(148, 174, weight=1)
NXG.add_node(148, w=1)
NXG.add_node(174, w=1)
NXG.add_edge(148, 176, weight=9)
NXG.add_node(148, w=9)
NXG.add_node(176, w=9)
NXG.add_edge(160, 187, weight=1)
NXG.add_node(160, w=1)
NXG.add_node(187, w=1)
NXG.add_edge(107, 134, weight=1)
NXG.add_node(107, w=1)
NXG.add_node(134, w=1)
NXG.add_edge(78, 79, weight=8)
NXG.add_node(78, w=8)
NXG.add_node(79, w=8)
NXG.add_edge(195, 196, weight=1)
NXG.add_node(195, w=1)
NXG.add_node(196, w=1)
NXG.add_edge(257, 258, weight=1)
NXG.add_node(257, w=1)
NXG.add_node(258, w=1)
NXG.add_edge(32, 45, weight=13)
NXG.add_node(32, w=13)
NXG.add_node(45, w=13)
NXG.add_edge(276, 290, weight=12)
NXG.add_node(276, w=12)
NXG.add_node(290, w=12)
NXG.add_edge(187, 201, weight=14)
NXG.add_node(187, w=14)
NXG.add_node(201, w=14)
NXG.add_edge(212, 217, weight=12)
NXG.add_node(212, w=12)
NXG.add_node(217, w=12)
NXG.add_edge(81, 82, weight=29)
NXG.add_node(81, w=29)
NXG.add_node(82, w=29)
NXG.add_edge(144, 145, weight=30)
NXG.add_node(144, w=30)
NXG.add_node(145, w=30)
NXG.add_edge(67, 239, weight=1)
NXG.add_node(67, w=1)
NXG.add_node(239, w=1)
NXG.add_edge(203, 204, weight=15)
NXG.add_node(203, w=15)
NXG.add_node(204, w=15)
NXG.add_edge(75, 76, weight=1)
NXG.add_node(75, w=1)
NXG.add_node(76, w=1)
NXG.add_edge(279, 289, weight=1)
NXG.add_node(279, w=1)
NXG.add_node(289, w=1)
NXG.add_edge(22, 43, weight=5)
NXG.add_node(22, w=5)
NXG.add_node(43, w=5)
NXG.add_edge(331, 345, weight=1)
NXG.add_node(331, w=1)
NXG.add_node(345, w=1)
NXG.add_edge(104, 131, weight=1)
NXG.add_node(104, w=1)
NXG.add_node(131, w=1)
NXG.add_edge(159, 173, weight=13)
NXG.add_node(159, w=13)
NXG.add_node(173, w=13)
NXG.add_edge(310, 312, weight=1)
NXG.add_node(310, w=1)
NXG.add_node(312, w=1)
NXG.add_edge(191, 279, weight=1)
NXG.add_node(191, w=1)
NXG.add_node(279, w=1)
NXG.add_edge(289, 290, weight=11)
NXG.add_node(289, w=11)
NXG.add_node(290, w=11)
NXG.add_edge(24, 45, weight=10)
NXG.add_node(24, w=10)
NXG.add_node(45, w=10)
NXG.add_edge(72, 73, weight=1)
NXG.add_node(72, w=1)
NXG.add_node(73, w=1)
NXG.add_edge(102, 116, weight=1)
NXG.add_node(102, w=1)
NXG.add_node(116, w=1)
NXG.add_edge(285, 286, weight=1)
NXG.add_node(285, w=1)
NXG.add_node(286, w=1)
NXG.add_edge(161, 170, weight=1)
NXG.add_node(161, w=1)
NXG.add_node(170, w=1)
NXG.add_edge(366, 368, weight=1)
NXG.add_node(366, w=1)
NXG.add_node(368, w=1)
NXG.add_edge(352, 358, weight=1)
NXG.add_node(352, w=1)
NXG.add_node(358, w=1)
NXG.add_edge(120, 121, weight=1)
NXG.add_node(120, w=1)
NXG.add_node(121, w=1)
NXG.add_edge(120, 125, weight=1)
NXG.add_node(120, w=1)
NXG.add_node(125, w=1)
NXG.add_edge(120, 137, weight=1)
NXG.add_node(120, w=1)
NXG.add_node(137, w=1)
NXG.add_edge(120, 146, weight=1)
NXG.add_node(120, w=1)
NXG.add_node(146, w=1)
NXG.add_edge(120, 148, weight=13)
NXG.add_node(120, w=13)
NXG.add_node(148, w=13)
NXG.add_edge(1, 7, weight=1)
NXG.add_node(1, w=1)
NXG.add_node(7, w=1)
NXG.add_edge(1, 18, weight=1)
NXG.add_node(1, w=1)
NXG.add_node(18, w=1)
NXG.add_edge(1, 19, weight=14)
NXG.add_node(1, w=14)
NXG.add_node(19, w=14)
NXG.add_edge(305, 332, weight=1)
NXG.add_node(305, w=1)
NXG.add_node(332, w=1)
NXG.add_edge(252, 262, weight=1)
NXG.add_node(252, w=1)
NXG.add_node(262, w=1)
NXG.add_edge(245, 246, weight=1)
NXG.add_node(245, w=1)
NXG.add_node(246, w=1)
NXG.add_edge(322, 323, weight=1)
NXG.add_node(322, w=1)
NXG.add_node(323, w=1)
NXG.add_edge(312, 313, weight=1)
NXG.add_node(312, w=1)
NXG.add_node(313, w=1)
NXG.add_edge(61, 63, weight=1)
NXG.add_node(61, w=1)
NXG.add_node(63, w=1)
NXG.add_edge(334, 343, weight=1)
NXG.add_node(334, w=1)
NXG.add_node(343, w=1)
NXG.add_edge(172, 173, weight=29)
NXG.add_node(172, w=29)
NXG.add_node(173, w=29)
NXG.add_edge(4, 10, weight=76)
NXG.add_node(4, w=76)
NXG.add_node(10, w=76)
NXG.add_edge(14, 23, weight=21)
NXG.add_node(14, w=21)
NXG.add_node(23, w=21)
NXG.add_edge(14, 25, weight=14)
NXG.add_node(14, w=14)
NXG.add_node(25, w=14)
NXG.add_edge(155, 156, weight=24)
NXG.add_node(155, w=24)
NXG.add_node(156, w=24)
NXG.add_edge(297, 300, weight=1)
NXG.add_node(297, w=1)
NXG.add_node(300, w=1)
NXG.add_edge(300, 301, weight=16)
NXG.add_node(300, w=16)
NXG.add_node(301, w=16)
NXG.add_edge(33, 46, weight=148)
NXG.add_node(33, w=148)
NXG.add_node(46, w=148)
NXG.add_edge(325, 328, weight=1)
NXG.add_node(325, w=1)
NXG.add_node(328, w=1)
NXG.add_edge(179, 185, weight=1)
NXG.add_node(179, w=1)
NXG.add_node(185, w=1)
NXG.add_edge(377, 378, weight=1)
NXG.add_node(377, w=1)
NXG.add_node(378, w=1)
NXG.add_edge(99, 100, weight=1)
NXG.add_node(99, w=1)
NXG.add_node(100, w=1)
NXG.add_edge(308, 335, weight=1)
NXG.add_node(308, w=1)
NXG.add_node(335, w=1)
NXG.add_edge(15, 22, weight=2)
NXG.add_node(15, w=2)
NXG.add_node(22, w=2)
NXG.add_edge(15, 25, weight=10)
NXG.add_node(15, w=10)
NXG.add_node(25, w=10)
NXG.add_edge(395, 396, weight=1)
NXG.add_node(395, w=1)
NXG.add_node(396, w=1)
NXG.add_edge(5, 11, weight=1)
NXG.add_node(5, w=1)
NXG.add_node(11, w=1)
NXG.add_edge(5, 14, weight=1)
NXG.add_node(5, w=1)
NXG.add_node(14, w=1)
NXG.add_edge(5, 23, weight=11)
NXG.add_node(5, w=11)
NXG.add_node(23, w=11)
NXG.add_edge(183, 184, weight=13)
NXG.add_node(183, w=13)
NXG.add_node(184, w=13)
NXG.add_edge(119, 120, weight=13)
NXG.add_node(119, w=13)
NXG.add_node(120, w=13)
NXG.add_edge(143, 159, weight=1)
NXG.add_node(143, w=1)
NXG.add_node(159, w=1)
NXG.add_edge(13, 24, weight=1)
NXG.add_node(13, w=1)
NXG.add_node(24, w=1)
NXG.add_edge(13, 25, weight=35)
NXG.add_node(13, w=35)
NXG.add_node(25, w=35)
NXG.add_edge(248, 249, weight=1)
NXG.add_node(248, w=1)
NXG.add_node(249, w=1)
NXG.add_edge(53, 56, weight=1)
NXG.add_node(53, w=1)
NXG.add_node(56, w=1)
NXG.add_edge(229, 230, weight=1)
NXG.add_node(229, w=1)
NXG.add_node(230, w=1)
NXG.add_edge(145, 158, weight=1)
NXG.add_node(145, w=1)
NXG.add_node(158, w=1)
NXG.add_edge(311, 312, weight=1)
NXG.add_node(311, w=1)
NXG.add_node(312, w=1)
NXG.add_edge(138, 139, weight=1)
NXG.add_node(138, w=1)
NXG.add_node(139, w=1)
NXG.add_edge(25, 26, weight=1)
NXG.add_node(25, w=1)
NXG.add_node(26, w=1)
NXG.add_edge(251, 252, weight=21)
NXG.add_node(251, w=21)
NXG.add_node(252, w=21)
NXG.add_edge(181, 182, weight=1)
NXG.add_node(181, w=1)
NXG.add_node(182, w=1)
NXG.add_edge(177, 178, weight=1)
NXG.add_node(177, w=1)
NXG.add_node(178, w=1)
NXG.add_edge(65, 77, weight=1)
NXG.add_node(65, w=1)
NXG.add_node(77, w=1)
NXG.add_edge(222, 223, weight=1)
NXG.add_node(222, w=1)
NXG.add_node(223, w=1)
NXG.add_edge(175, 176, weight=28)
NXG.add_node(175, w=28)
NXG.add_node(176, w=28)
NXG.add_edge(190, 200, weight=1)
NXG.add_node(190, w=1)
NXG.add_node(200, w=1)
NXG.add_edge(316, 332, weight=1)
NXG.add_node(316, w=1)
NXG.add_node(332, w=1)
NXG.add_edge(139, 140, weight=1)
NXG.add_node(139, w=1)
NXG.add_node(140, w=1)
NXG.add_edge(59, 64, weight=1)
NXG.add_node(59, w=1)
NXG.add_node(64, w=1)
NXG.add_edge(59, 79, weight=14)
NXG.add_node(59, w=14)
NXG.add_node(79, w=14)
NXG.add_edge(194, 195, weight=1)
NXG.add_node(194, w=1)
NXG.add_node(195, w=1)
g = dgl.from_networkx(NXG, edge_attrs=['weight'], node_attrs=['w'])
return g
|
[
"xiaoyao@usc.edu"
] |
xiaoyao@usc.edu
|
4c7f830389c9108013b3b1e13872322bea7f2a1a
|
dd887dc97be27c140891205ad2fabe78ab725d59
|
/run_tests.py
|
41ec83601518010e56d4d679a5dadb7f5a9cf8e9
|
[] |
no_license
|
angelhof/edsger_compiler
|
b5be2cc00ff60cd6ca81ff9a47439d527dc027be
|
4b063f6693d21bbed2c06ff7a58c2457239f12e1
|
refs/heads/master
| 2021-01-19T12:15:43.953628
| 2017-09-27T08:53:58
| 2017-09-27T08:53:58
| 84,454,187
| 4
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,971
|
py
|
#!/usr/bin/env python
import os
import sys
import difflib
old_way = False
if(not len(sys.argv) == 2):
print "Usage: python run_tests.py <file_with_test_names>"
exit(1)
try:
test_files = open(sys.argv[1])
except:
print "File with name: " + sys.argv[1] + " doesn't exist!!"
exit(1)
correct = 0
total_tests = 0
for test_name_newline in test_files.readlines():
test_line = test_name_newline.rstrip().split(" ")
test_name = test_line[0]
test_input = None
if(len(test_line) > 1):
test_input = test_line[1]
# Compile cedsg
res = os.system("python cedsg.py tests/" + test_name + " > /dev/null 2>&1")
if(not res == 0):
print "Compiler Error at: " + test_name
# Execute test
if(test_input is not None):
res3 = os.system("cat tests/" + test_name + ".in | ./a.out > tests/outputs/" + test_name)
else:
res3 = os.system("./a.out > tests/outputs/" + test_name)
if(not res3 == 0):
print "Execution Error at: " + test_name
if(res+res3 == 0):
my_output = open("tests/outputs/"+test_name).read()
expected_output = open("tests/expected_outputs/"+test_name).read()
'''Debug Only:
print my_output
print expected_output
for i,s in enumerate(difflib.ndiff(my_output, expected_output)):
if s[0]==' ':
continue
elif s[0]=='-':
print(u'Delete "{}" from position {}'.format(s[-1],i))
elif s[0]=='+':
print(u'Add "{}" to position {}'.format(s[-1],i))
'''
if(my_output == expected_output):
correct += 1
else:
print "Wrong output for: " + test_name
total_tests += 1
'''
TODO: Delete, Old way of running tests
'''
if(old_way):
res = os.system("python cedsg.py tests/" + test_name + " > /dev/null 2>&1")
if(not res == 0):
print "Compiler Error at: " + test_name
res1 = os.system("llc -mtriple=\"x86_64-unknown-gnulinux\" test_asm > /dev/null 2>&1")
if(not res1 == 0):
print "llc Error at: " + test_name
res2 = os.system("clang test_asm.s lib.a -o test_x86 > /dev/null 2>&1")
if(not res2 == 0):
print "Clang Error at: " + test_name
if(test_input is not None):
res3 = os.system("cat tests/" + test_name + ".in | ./test_x86 > tests/outputs/" + test_name)
else:
res3 = os.system("./test_x86 > tests/outputs/" + test_name)
if(not res3 == 0):
print "Execution Error at: " + test_name
if(res+res1+res2+res3 == 0):
my_output = open("tests/outputs/"+test_name).read()
expected_output = open("tests/expected_outputs/"+test_name).read()
'''Debug Only:
print my_output
print expected_output
for i,s in enumerate(difflib.ndiff(my_output, expected_output)):
if s[0]==' ':
continue
elif s[0]=='-':
print(u'Delete "{}" from position {}'.format(s[-1],i))
elif s[0]=='+':
print(u'Add "{}" to position {}'.format(s[-1],i))
'''
if(my_output == expected_output):
correct += 1
else:
print "Wrong output for: " + test_name
total_tests += 1
print "Correct: " + str(correct) + " out of: " + str(total_tests)
|
[
"konstantinos.kallas@hotmail.com"
] |
konstantinos.kallas@hotmail.com
|
ad51ec45498d2d45376a45f8d7eb8760d66fb9cc
|
13b64d337210fe93d367ce102375baaba768deeb
|
/Test5/__init__.py
|
5858657ab37c81080becce3f0d6b7d0f9d3404a3
|
[] |
no_license
|
GummiRichy/NHS-Gashapon
|
91a3d8a744b682bb9f9bdcd1addc3d6a22f45bec
|
bbd98f4f939aed4ff1d0467f60b48d2ba56f2666
|
refs/heads/main
| 2023-02-26T14:29:25.113583
| 2021-02-03T21:28:42
| 2021-02-03T21:28:42
| 334,280,678
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,746
|
py
|
from flask import Flask, request, send_from_directory, render_template, jsonify, make_response
import os
from hashlib import sha256
import json
from random import random
import requests
app = Flask(__name__)
prizes = ("Chocolate", "Strawberry Starburst", "Cherry Starburst", "Orange Starburst", "Lemon Starburst")
probabilities = (0.4, 0.15, 0.15, 0.15, 0.15)
assert sum(probabilities) == 1
assert len(prizes) == len(probabilities)
GITHUB_TOKEN = "secret token here"
USED_CODES_PATH = "static/used_codes.json"
hashes = requests.get("https://pastebin.com/raw/DUV5ztr1").text.split("\n")
hashes = [x.strip('\r') for x in hashes]
#print(hashes)
def save_used_codes(used_codes):
#this uses github gists to save our used codes file
gist_id="9099922858882e94fdb16ca3c9293dfa"
content=json.dumps(used_codes, indent = 4, sort_keys=True)
filename = "gashapon_used_codes"
headers = {'Authorization': f'token {GITHUB_TOKEN}'}
r = requests.patch('https://api.github.com/gists/' + gist_id, data=json.dumps({'files':{filename:{"content":content}}}),headers=headers)
#print(r.json())
with open(USED_CODES_PATH, 'w') as f:
f.write(content)
def get_used_codes():
with open(USED_CODES_PATH) as f:
return json.load(f)
def pick_randomly():
#this number randomly picks a number from 1 to n inclusive (assuming there are n different types of prizes) according the the weighted probabilities
num = random()
for i in range(len(prizes)):
num -= probabilities[i]
if num < 0:
return i + 1
print("this should never really happen")
return len(prizes) + 1
@app.route("/")
def home():
return render_template("index.html")
@app.route("/getcode", methods = ["POST"])
def handle_code():
used_codes = get_used_codes()
code = request.get_json()
#print(req)
#print(type(req))
if not type(code) == type(""):
res = make_response(jsonify(0), 200)
return res
if not code.isdigit():
res = make_response(jsonify(0), 200)
return res
if sha256(code.encode('utf-8')).hexdigest() in hashes:
if code not in used_codes.keys():
result = pick_randomly()
used_codes[code] = prizes[result - 1]
save_used_codes(used_codes)
res = make_response(jsonify(result), 200)
return res
else:
result = prizes.index(used_codes[code]) + 1
result = -result
res = make_response(jsonify(result), 200)
return res
else:
res = make_response(jsonify(0), 200)
return res
if __name__ == "__main__":
app.run(host = "0.0.0.0", port = 80)
|
[
"noreply@github.com"
] |
GummiRichy.noreply@github.com
|
b3c030f1768dcfc0cd596fb8f8ba97bdcca9e738
|
a3ae31031057f807079880486dc79a816ad864c4
|
/jpg2bmp/jpg2bmp.py
|
3893a54a63f7dc66e85213e498533ace69633eee
|
[] |
no_license
|
kyumdbot/Slides-TFT_TouchShield
|
3325de4a2ad663ddd613fa697e6893a55fce4990
|
5995d3d9301e6b77f5dcf8b60c1def07f1270ae2
|
refs/heads/master
| 2020-04-23T02:06:33.325658
| 2019-02-18T03:55:11
| 2019-02-18T03:55:11
| 170,835,186
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 237
|
py
|
from PIL import Image
names = ["launch", "001", "002", "003", "004", "005", "006"]
for name in names:
im = Image.open(name + ".jpg").convert("RGB")
im.save(name + ".bmp")
print("output: " + name + ".bmp")
print("Done!")
|
[
"kyumd001@gmail.com"
] |
kyumd001@gmail.com
|
3602ba7107adda3c0f8537ccf5391aca5a28d5da
|
2dcd80d3255266a45ad788017e1e4684e9ce66ca
|
/ClickToEat/migrations/0011_auto_20211011_1322.py
|
cd0782e6550b2db162c0683c8f62cf2723920f2e
|
[
"MIT"
] |
permissive
|
Lylissa/DeliveryService
|
6fa5bd46fce04621e4233607e4044a9312e3207b
|
06ad6ed701bad0e309720726b1d16183a322418d
|
refs/heads/master
| 2023-09-03T12:20:58.573472
| 2021-10-27T10:09:39
| 2021-10-27T10:09:39
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 770
|
py
|
# Generated by Django 3.0.5 on 2021-10-11 05:22
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('ClickToEat', '0010_auto_20211003_1048'),
]
operations = [
migrations.RenameField(
model_name='client',
old_name='client_id',
new_name='id',
),
migrations.RenameField(
model_name='order',
old_name='order_id',
new_name='id',
),
migrations.RenameField(
model_name='rider',
old_name='rider_id',
new_name='id',
),
migrations.RenameField(
model_name='store',
old_name='store_id',
new_name='id',
),
]
|
[
"orcullomaryalissa@gmail.com"
] |
orcullomaryalissa@gmail.com
|
af67735fcedaaa10f128901f872b2e2215dc3f1e
|
c2a74d1b2d21fb22bd1ad00a3b3816966b7c8368
|
/data/process_data_orig.py
|
9acf6d0afab8b49ddb92e3251129641ac8959930
|
[] |
no_license
|
pragmaticDataminer/Disaster-Response-Pipelines
|
2c90b2758e065e9faac5aae8ee9197e2718eed47
|
166d2673061edacf07d56013f22f3ac069bba298
|
refs/heads/master
| 2022-10-06T14:31:59.427964
| 2022-09-28T07:15:15
| 2022-09-28T07:15:15
| 211,233,237
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,197
|
py
|
import sys
def load_data(messages_filepath, categories_filepath):
pass
def clean_data(df):
pass
def save_data(df, database_filename):
pass
def main():
if len(sys.argv) == 4:
messages_filepath, categories_filepath, database_filepath = sys.argv[1:]
print('Loading data...\n MESSAGES: {}\n CATEGORIES: {}'
.format(messages_filepath, categories_filepath))
df = load_data(messages_filepath, categories_filepath)
print('Cleaning data...')
df = clean_data(df)
print('Saving data...\n DATABASE: {}'.format(database_filepath))
save_data(df, database_filepath)
print('Cleaned data saved to database!')
else:
print('Please provide the filepaths of the messages and categories '\
'datasets as the first and second argument respectively, as '\
'well as the filepath of the database to save the cleaned data '\
'to as the third argument. \n\nExample: python process_data.py '\
'disaster_messages.csv disaster_categories.csv '\
'DisasterResponse.db')
if __name__ == '__main__':
main()
|
[
"kusumsanand@gmail.com"
] |
kusumsanand@gmail.com
|
75dcf7551adb829e158ce95752a5a604d343bd7b
|
1785ce8f49b0a253a2980d37676c62dbb4955d23
|
/Med/maxMinMode.py
|
3221580d91fa8e61057687df9dfc4895445e94a1
|
[] |
no_license
|
BassP97/CTCI
|
29aca0913f39fc24c281f9cffb255a8e4c2f0472
|
6ca635efd0cacb56e7a117f6636b6126ddc8ea5b
|
refs/heads/master
| 2023-04-08T17:25:58.853342
| 2021-04-17T22:25:20
| 2021-04-17T22:25:20
| 185,297,152
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,088
|
py
|
"""
You decide to test if your oddly-mathematical heating company is fulfilling its
All-Time Max, Min, Mean and Mode Temperature Guarantee™.
Write a class TempTracker with these methods:
insert()—records a new temperature
get_max()—returns the highest temp we've seen so far
get_min()—returns the lowest temp we've seen so far
get_mean()—returns the mean of all temps we've seen so far
get_mode()—returns a mode of all temps we've seen so far
Optimize for space and time. Favor speeding up the getter methods get_max(),
get_min(), get_mean(), and get_mode() over speeding up the insert() method.
get_mean() should return a float, but the rest of the getter methods can return
integers. Temperatures will all be inserted as integers. We'll record our
temperatures in Fahrenheit, so we can assume they'll all be in the range 0...110
If there is more than one mode, return any of the modes.
"""
class tempTracker(object):
def __init__(self):
self.max = 0
self.min = 110
self.mean = 0
self.mode = 0
self.modeCount = 0
self.itemCount = {}
self.numItems = []
def insert(self, num):
if num>self.max:
self.max = num
if num<self.min:
self.min = num
self.numItems.append(num)
if num not in self.itemCount.keys():
self.itemCount[num] = 0
self.numItems = self.numItems+1
self.itemCount[num] = self.itemCount[num]+1
if len(self.numItems) == 1:
self.mean = num
self.mode = num
return
self.mean = ((self.mean*(self.numItems)-1)) + num)/self.numItems)
if self.mode == num:
self.modeCount = self.modeCount+1
if self.itemCount[num]>self.modeCount:
self.mode = num
self.modeCount = self.itemCount[num]
return
def get_max(self):
return self.max
def get_mean(self):
return self.mean
def get_min(self):
return self.min
def get_mode(self):
return self.mode
|
[
"bass_p1@denison.edu"
] |
bass_p1@denison.edu
|
5bf7a4fe55374f3b262a1fdaa91c5b8693114712
|
c8809d9f6738decb8033776d27286724743a2cab
|
/language/python/common_module/src/main_muti_process.py
|
473a95b712d44cfc2168f79fe0f6bd1137aa7808
|
[] |
no_license
|
lansedefen/research
|
8e4d46dfb761575418f21c83f2953cb00a9c96e3
|
3f27007a7cd468d08f6c4c271fc7b09b7ddf2f28
|
refs/heads/master
| 2021-07-10T19:40:32.973719
| 2019-01-19T02:17:52
| 2019-01-19T02:17:52
| 115,091,316
| 0
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,041
|
py
|
# -*- coding: utf-8 -*-
from multiprocessing import Pool, Lock
from time import clock
import requests
from create_logger import logger
import extract_weibo
def mycallback(x):
with open('../data/data.txt', 'a+') as f:
f.writelines(str(x) + "\n")
def with_lock(text):
lock.acquire()
with open('request.log', 'a+') as logs:
logs.write('request %s cost: %s\n' % (url, end_time - start_time))
lock.release()
def init_lock(l):
global lock
lock = l
def get_weibo(mid):
url = "http://10.75.57.27/getdata/querydata2.php?condition=%s&mode=weibo&format=json" % (mid.strip())
#try:
if 1:
start_time = clock()
text = requests.get(url, timeout=4).text
end_time = clock()
cost_time = end_time - start_time
logger.debug("url:" + url + ", cost_time:" + str(cost_time))
# do sth
res = extract_weibo.parse_weibo(text)
#print res
#with_lock(text)
return text
#except:
# return None
def muti_process_with_map(file_name):
core_num = 10
data = []
obj = open(file_name, "r")
for line in obj:
ele = line.strip().split("\t")[1]
data.append(ele)
obj.close()
lock = Lock()
pool = Pool(core_num, initializer = init, initargs=(lock,) )
pool.map_async(get_weibo, data, callback = mycallback)
pool.close()
pool.join()
return
def muti_process_with_apply(file_name):
core_num = 10
lock = Lock()
pool = Pool(core_num, initializer = init_lock, initargs=(lock,) )
obj = open(file_name, "r")
for line in obj:
ele = line.strip().split("\t")[1]
# debug single
#get_weibo(ele)
#pool.apply(get_weibo, (ele, ))
pool.apply_async(get_weibo, (ele, ), callback = mycallback)
pool.close()
pool.join()
return
if __name__ == '__main__':
e1 = clock()
file_name = "../data/bb1"
muti_process_with_apply(file_name)
#muti_process_with_map(file_name)
e2 = clock()
print float(e2 - e1)
|
[
"920317005@qq.com"
] |
920317005@qq.com
|
f63f670154cf8114b2a73ebb6e41031faea6b893
|
f830d7bbd71fcefea6dc01ab17bd54abe626c272
|
/tasks/auth0/utils.py
|
341a4b8ebc5d672827e9e195a421b1ebcd7b8f32
|
[] |
no_license
|
feedyard/baseline-aws-auth-idp
|
bc001c023680aaad20334fdbf08ad9d8d12e0abc
|
384bd8f68910691dd4ded5ffb336ea001a39945e
|
refs/heads/master
| 2020-04-21T00:57:41.234319
| 2019-06-20T21:40:48
| 2019-06-20T21:40:48
| 169,210,282
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 9,257
|
py
|
import json
import urllib.request
from functools import reduce
from copy import copy
from auth0.v3.authentication import GetToken
from auth0.v3.management import Auth0
import pkg_resources
resource_package = __name__
def setup_auth0(config):
"""configure auth0-github as the identity provider for the master OU account in AWS"""
auth0 = Auth0Builder(config["idp"])
account_config = auth0.configure_sso(config['account'], config['github'])
with open(config['saml_metadata_filename'], "w") as xml_file:
xml_file.write(account_config['provider_xml'])
def add_org_name(mapping):
org_name = config['github']['github_organization']
new_mapping = copy(mapping)
new_mapping['idp_role'] = f"{org_name}/{mapping['idp_role']}"
return new_mapping
# client_ids = map(lambda account_conf: account_conf['client']['client_id'], account_config)
auth0.deploy_rules(config['project_name'], {
"client_id": account_config['client']['client_id'],
"saml_provider_name": config['saml_provider_name'],
"roles": map(lambda role_mapping: add_org_name(role_mapping), config['roles'])
})
class Auth0Builder:
def __init__(self, config):
self.config = config
self.auth0_client = self.create_auth0_client(config)
self.script_generator = RoleRuleScriptGenerator()
# get auth0 management api usage token and create auth0_python Auth0 client
def create_auth0_client(self, config):
domain = config["domain"]
token = GetToken(domain).client_credentials(config["client_id"],
config["client_secret"], f"https://{domain}/api/v2/")
return Auth0(domain, token['access_token'])
def configure_sso(self, account, github):
new_client = self.create_aws_saml_client(account['name'], account['aws_account_number'])
new_provider_xml = self.__get_saml_metadata_document(self.config['domain'], new_client['client_id'])
new_connection = self.create_github_connection(f"{account['name']}-connection", new_client['client_id'],
github['github_client_id'], github['github_client_secret'])
return {"client": new_client, "provider_xml": new_provider_xml, "connection": new_connection}
def create_aws_saml_client(self, client_name, account_id):
matching_clients = list(filter(lambda c: c['name'] == client_name, self.auth0_client.clients.all()))
create_client_request = json.loads(
pkg_resources.resource_string(resource_package, 'base-auth0-client-message.json'))
create_client_request['name'] = client_name
create_client_request['client_metadata'] = {
"aws_account_number": account_id
}
if len(matching_clients) == 0:
print(f"Creating new client {client_name} for account {account_id}.")
return self.auth0_client.clients.create(create_client_request)
else:
print(f"Updating existing client {client_name}.")
del (create_client_request['jwt_configuration']['secret_encoded'])
return self.auth0_client.clients.update(matching_clients[0]['client_id'], create_client_request)
def create_github_connection(self, connection_name, enabled_client, github_client_id, github_secret):
create_connection_request = json.loads(
pkg_resources.resource_string(resource_package, 'base-github-connection-message.json'))
create_connection_request['name'] = connection_name
create_connection_request['enabled_clients'] = [enabled_client]
create_connection_request['options']['client_id'] = github_client_id
create_connection_request['options']['client_secret'] = github_secret
connections = list(filter(lambda c: c['name'] == connection_name, self.auth0_client.connections.all()))
if len(connections) > 0:
print(f"Updating connection {connection_name}")
del create_connection_request['strategy']
del create_connection_request['name']
return self.auth0_client.connections.update(connections[0]['id'], create_connection_request)
else:
print(f"Created connection {connection_name}")
return self.auth0_client.connections.create(create_connection_request)
def __get_saml_metadata_document(self, auth0_host, client_id):
response = urllib.request.urlopen(f"https://{auth0_host}/samlp/metadata/{client_id}")
if response.status != 200:
print(f"Request to SAMLP endpoint failed with {response.status} - {response.reason}")
raise Exception("Failed to get SAML metadata document")
else:
return response.read().decode("utf-8")
def deploy_rules(self, client_name, config):
self.deploy_github_connection_rule(client_name)
self.deploy_rule_hierarchy(client_name, config)
def deploy_github_connection_rule(self, client_name):
self.__deploy_or_overwrite_rule({
"name": client_name + "-github-connection",
"script": pkg_resources.resource_string(resource_package, 'github_connection.js').decode("utf-8"),
"stage": "login_success"
})
def deploy_rule_hierarchy(self, role_hierarchy_rule_name, config):
self.__deploy_or_overwrite_rule({
"name": role_hierarchy_rule_name + "-github-team-mapping-rule",
"script": self.script_generator.generate_hierarchy(config),
"stage": "login_success"
})
def __deploy_or_overwrite_rule(self, body):
rules = list(filter(lambda c: c['name'] == body['name'], self.auth0_client.rules.all()))
if len(rules) == 0:
print(f"Creating rule {body['name']}")
self.auth0_client.rules.create(body)
else:
print(f"Updating rule {body['name']}")
self.auth0_client.rules.update(rules[0]['id'], {
"name": body['name'],
"script": body['script']
})
class RoleRuleScriptGenerator:
def __init__(self):
pass
def generate_hierarchy(self, config):
return f"""
function (user, context, callback) {{
var clientId = "{config['client_id']}" ;
if (clientId) {{
var role = "";
var roleMapping = {self.__generate_role_map(config)};
function hasRole(idpRole, user) {{
return user.app_metadata.roles.filter(function(userRole){{
return userRole == idpRole;
}}).length > 0;
}}
var samlProvider = "arn:aws:iam::"
+ context.clientMetadata.aws_account_number +
":saml-provider/{config['saml_provider_name']}";
for (var i=0; i < roleMapping.length && !role; i++) {{
if (hasRole(roleMapping[i].idpRole, user)) {{
role = roleMapping[i].awsRole(user);
}}
}}
user.awsRole = role + "," + samlProvider;
if (!user.awsRole) {{
return callback("No role could be assigned. Please have your admin check mappings between aws role and github team.", user, context);
}}
user.awsRoleSession = user.nickname;
context.samlConfiguration.mappings = {{
'https://aws.amazon.com/SAML/Attributes/Role': 'awsRole',
'https://aws.amazon.com/SAML/Attributes/RoleSessionName': 'awsRoleSession'
}};
if (context.protocol == 'delegation') {{
context.addonConfiguration = context.addonConfiguration || {{}};
context.addonConfiguration.aws = context.addonConfiguration.aws || {{}};
context.addonConfiguration.aws.principal = samlProvider;
context.addonConfiguration.aws.role = role;
}}
}}
callback(null, user, context);
}}
"""
def __generate_client_Id(self, config):
#client_id_strings = map(lambda client_id: f"'{client_id}':true", config['client_ids'])
return f'''{{ {config} }}'''
def __generate_role_mapping(self, role):
aws_role_function = f"""
function(user) {{
return "arn:aws:iam::" +
context.clientMetadata.aws_account_number +
":role/{role['aws_role']}";
}}
"""
return f"""{{ idpRole:"{role['idp_role']}", awsRole: {aws_role_function} }}"""
def __generate_role_map(self, config):
role_map = reduce(lambda acc, item: acc + ",\n" + item,
map(lambda role: self.__generate_role_mapping(role),
config['roles']))
if config:
return f"""[
{role_map}
]"""
else:
return f"[]"
|
[
"nchenewe@thoughtworks.com"
] |
nchenewe@thoughtworks.com
|
89b0c5be4957f6628700adfcd85a2697e9d3a3d2
|
fc59ba97df7d6ff6367f2f951f791e674d16b415
|
/frontendshop/migrations/0003_auto_20200120_1705.py
|
4241262316a889178ce97460fb86fef1bb93e6ac
|
[] |
no_license
|
Ran-oops/mywebsPrograme
|
e493853d522e3df6d3d410e4384dc80dd9aba189
|
438973e90dc72433b85e9a428b1b402d1a8b4f41
|
refs/heads/master
| 2020-12-13T15:51:13.883472
| 2020-02-01T14:46:21
| 2020-02-01T14:46:21
| 234,462,993
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,312
|
py
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('frontendshop', '0002_auto_20200105_1324'),
]
operations = [
migrations.CreateModel(
name='GoodsInfo',
fields=[
('id', models.AutoField(verbose_name='ID', primary_key=True, serialize=False, auto_created=True)),
('title', models.CharField(max_length=32)),
('price', models.DecimalField(max_digits=7, decimal_places=2)),
('num', models.IntegerField()),
('storename', models.CharField(max_length=50)),
('description', models.TextField()),
('picname', models.CharField(max_length=255)),
('state', models.IntegerField()),
('clicknum', models.IntegerField()),
('addtime', models.DateTimeField()),
],
),
migrations.CreateModel(
name='GoodsType',
fields=[
('id', models.AutoField(verbose_name='ID', primary_key=True, serialize=False, auto_created=True)),
('name', models.CharField(max_length=32)),
],
),
migrations.CreateModel(
name='GuestInfo',
fields=[
('id', models.AutoField(verbose_name='ID', primary_key=True, serialize=False, auto_created=True)),
('name', models.CharField(max_length=100)),
('phonenumber', models.CharField(max_length=11)),
('password', models.CharField(max_length=36)),
('email', models.CharField(max_length=50)),
('sex', models.IntegerField()),
('address', models.CharField(max_length=255)),
('guestpic', models.CharField(max_length=50)),
],
),
migrations.CreateModel(
name='OneTypeGoodsOrder',
fields=[
('id', models.AutoField(verbose_name='ID', primary_key=True, serialize=False, auto_created=True)),
('addtime', models.DateTimeField()),
('consigneename', models.CharField(max_length=32)),
('consigneetel', models.CharField(max_length=11)),
('consigneeaddress', models.CharField(max_length=50)),
('consigneecode', models.CharField(max_length=6)),
('goodsnum', models.IntegerField()),
('orderstatus', models.IntegerField()),
('goodsinfo', models.OneToOneField(to='frontendshop.GoodsInfo')),
('guestinfo', models.ForeignKey(to='frontendshop.GuestInfo')),
],
),
migrations.DeleteModel(
name='EVERY_ORDER',
),
migrations.DeleteModel(
name='GET_GOODS_ADDRESS',
),
migrations.DeleteModel(
name='GOODS_INFO',
),
migrations.DeleteModel(
name='GUEST_INFO',
),
migrations.DeleteModel(
name='ORDER_DETAIL',
),
migrations.AddField(
model_name='goodsinfo',
name='goodstype',
field=models.ForeignKey(to='frontendshop.GoodsType'),
),
]
|
[
"3460466167@qq.com"
] |
3460466167@qq.com
|
546ac8c35f7d6abeb75985fa4d4c1e31ee9dc4ba
|
f8f24c63c0681111e4f286b1efbb7ed2153d1baf
|
/python_research/experiments/EUROMICRO2018/trt_playground/uff_engine.py
|
ba62bbc80bce144af8e35237157df8e10a96b0f8
|
[
"MIT"
] |
permissive
|
myychal/hypernet
|
1deb543028169882ae731c7621e5b481e82ef48d
|
778e9c1a2f27ab1c664bb6d8ea49c65d0c7bdade
|
refs/heads/master
| 2020-04-02T13:50:11.812455
| 2018-09-19T13:19:46
| 2018-09-19T13:19:46
| 154,499,346
| 0
| 0
|
MIT
| 2018-10-24T12:42:59
| 2018-10-24T12:42:59
| null |
UTF-8
|
Python
| false
| false
| 7,310
|
py
|
import os
from typing import Tuple
import numpy as np
import tensorrt as trt
import uff
from keras.models import load_model
from tensorrt.parsers import uffparser
from experiments.EUROMICRO2018.trt_playground import calibration_helpers
def create_float_engine(input_shape: Tuple, model_path: str):
"""
Creates engine from given frozen model and saves it to disk
:param input_shape: shape of input data
:param model_path: path to saved model
:return: engine
"""
assert os.path.exists(model_path)
model = load_model(os.path.join(model_path, 'model.h5'))
output_layer_name = model.output.name.split(':')[0]
print(output_layer_name)
if output_layer_name != 'output_1/Softmax':
output_layer_name = 'output_1/Softmax'
input_layer_name = model.input.name.split(':')[0]
if input_layer_name != 'input0_1':
input_layer_name = 'input0_1'
print(input_layer_name)
image_shape = input_shape
image_shape = (image_shape[0], image_shape[2], image_shape[1])
print("Image shape:", image_shape)
G_LOGGER = trt.infer.ConsoleLogger(trt.infer.LogSeverity.INFO)
PATH = os.path.join(model_path, 'model.engine')
# Load your newly created Tensorflow frozen model and convert it to UFF
uff_model = uff.from_tensorflow_frozen_model(PATH.replace(".engine", ".pb"), [output_layer_name])
# Create a UFF parser to parse the UFF file created from your TF Frozen model
parser = uffparser.create_uff_parser()
parser.register_input(input_layer_name, image_shape, 0)
parser.register_output(output_layer_name)
# Build your TensorRT inference engine
# This step performs (1) Tensor fusion (2) Reduced precision
# (3) Target autotuning (4) Tensor memory management
engine = trt.utils.uff_to_trt_engine(G_LOGGER,
uff_model,
parser,
1, #batch size
1<<20,
trt.infer.DataType.FLOAT)
parser.destroy()
return engine
def create_int_engine(calibration_data: np.ndarray, model_path: str):
"""
Creates engine from given frozen model and saves it to disk
:param calibration_data: data used for calibration
:param model_path: path to saved model
:return: engine
"""
model = load_model(os.path.join(model_path, 'model.h5'))
input_layers = [model.input.name.split(':')[0]]
output_layers = [model.output.name.split(':')[0]]
if input_layers[0] != 'input0_1':
input_layers[0] = 'input0_1'
if output_layers[0] != 'output_0_1/Softmax':
output_layers[0] = 'output_0_1/Softmax'
# Load your newly created Tensorflow frozen model and convert it to UFF
uff_model = uff.from_tensorflow_frozen_model(os.path.join(model_path, 'model.pb'), output_layers)
calibration_files = calibration_data
data_size = calibration_data.shape[0]
sample_shape = calibration_data[0].shape
# Process 5 images at a time for calibration
# This batch size can be different from MaxBatchSize (1 in this example)
batchstream = calibration_helpers.ImageBatchStream(data_size, calibration_files)
int8_calibrator = calibration_helpers.PythonEntropyCalibrator(input_layers, batchstream)
# Easy to use TensorRT lite package
# engine = trt.lite.Engine(framework="c1",
# deployfile=MODEL_DIR + "fcn8s.prototxt",
# modelfile=MODEL_DIR + "fcn8s.caffemodel",
# max_batch_size=1,
# max_workspace_size=(256 << 20),
# input_nodes={"data": (CHANNEL, HEIGHT, WIDTH)},
# output_nodes=["score"],
# preprocessors={"data": sub_mean_chw},
# postprocessors={"score": color_map},
# data_type=trt.infer.DataType.INT8,
# calibrator=int8_calibrator,
# logger_severity=trt.infer.LogSeverity.INFO)
engine = trt.lite.Engine(framework='tf',
path=os.path.join(model_path, 'model.pb'),
# stream=uff_model,
max_batch_size=100,
max_workspace_size=(256 << 20),
input_nodes={input_layers[0]: sample_shape},
output_nodes=output_layers,
data_type=trt.infer.DataType.FLOAT,
calibrator=int8_calibrator,
logger_severity=trt.infer.LogSeverity.INFO,
preprocessors=None,
postprocessors=None)
return engine
def create_int_engine2(calibration_data: np.ndarray, model_path: str):
"""
Creates engine from given frozen model and saves it to disk
:param input_shape: shape of input data
:param model_path: path to saved model
:return: engine
"""
assert os.path.exists(model_path)
model = load_model(os.path.join(model_path, 'model.h5'))
input_layers = [model.input.name.split(':')[0]]
output_layers = [model.output.name.split(':')[0]]
G_LOGGER = trt.infer.ConsoleLogger(trt.infer.LogSeverity.INFO)
PATH = os.path.join(model_path, 'model.engine')
# Load your newly created Tensorflow frozen model and convert it to UFF
uff_model = uff.from_tensorflow_frozen_model(PATH.replace(".engine", ".pb"), output_layers)
calibration_files = calibration_data
data_size = calibration_data.shape[0]
sample_shape = calibration_data[0].shape
# Process 5 images at a time for calibration
# This batch size can be different from MaxBatchSize (1 in this example)
batchstream = calibration_helpers.ImageBatchStream(data_size, calibration_files)
int8_calibrator = calibration_helpers.PythonEntropyCalibrator(input_layers, batchstream)
# Create a UFF parser to parse the UFF file created from your TF Frozen model
parser = uffparser.create_uff_parser()
parser.register_input(input_layers[0], sample_shape, 0)
parser.register_output(output_layers[0])
# Build your TensorRT inference engine
# This step performs (1) Tensor fusion (2) Reduced precision
# (3) Target autotuning (4) Tensor memory management
engine = trt.utils.uff_to_trt_engine(G_LOGGER,
uff_model,
parser,
8, #batch size
1<<20,
trt.infer.DataType.INT8,
calibrator=int8_calibrator)
parser.destroy()
return engine
def serialize_engine(engine, output_path: str):
"""
Serializes engine to store it on disk
:param engine: engine to serialize
:param output_path: path to save the engine
:return: None
"""
assert os.path.exists(output_path)
trt.utils.write_engine_to_file(output_path, engine.serialize())
print("Model serialized at:", output_path)
def load_engine():
pass
|
[
"mantoniak@kplabs.pl"
] |
mantoniak@kplabs.pl
|
4d665bbec6510b1bf755a90b371ba782b8f5fac0
|
f8bdc46409c9f5eaf3d85ef157260589462d941a
|
/jsk_apc2016_common/setup.py
|
3aac7e2ddea565c92947b1ccbddc4cfb3a5d1251
|
[
"MIT",
"BSD-3-Clause"
] |
permissive
|
start-jsk/jsk_apc
|
2e268f8b65e9d7f4f9cc4416dc8383fd0a7b9750
|
c4e349f45ef38457dc774e33f6902acf1a1540a6
|
refs/heads/master
| 2023-09-05T09:06:24.855510
| 2023-09-01T17:10:12
| 2023-09-01T17:10:12
| 25,620,908
| 36
| 25
|
NOASSERTION
| 2023-09-01T17:10:14
| 2014-10-23T05:28:31
|
Common Lisp
|
UTF-8
|
Python
| false
| false
| 232
|
py
|
#!/usr/bin/env python
from distutils.core import setup
from catkin_pkg.python_setup import generate_distutils_setup
d = generate_distutils_setup(
packages=['jsk_apc2016_common'],
package_dir={'': 'python'},
)
setup(**d)
|
[
"www.kentaro.wada@gmail.com"
] |
www.kentaro.wada@gmail.com
|
2715994ac90bdf445eb8b750a94410e7d0f06546
|
b9e12a582bb5452f7f1b9988e8f5d4dcf96e0406
|
/mongodb.py
|
a360c79eb0838f3e60a0d5753a57033909db0d62
|
[] |
no_license
|
DavidJGG/cntGKE
|
392f6ebec422a2da0cacc285c6c814a593b40b7d
|
2807f4065c82b6b951bcaad10061e6622a3aa33d
|
refs/heads/master
| 2022-11-15T09:57:30.158365
| 2020-07-05T14:14:55
| 2020-07-05T14:14:55
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,268
|
py
|
import pymongo
from pymongo import MongoClient
import redis
print("\n---------------- MONGO ------------------\n")
con=MongoClient('35.194.18.116',27017)
try:
db=con.proyecto2
#db.casos.drop()
#db.casos.delete_many({"name":"LUCHO"})
print("Elementos: "+str(db.casos.count()))
#for x in db.casos.find():
#print(x)
except Exception as e:
print(e)
finally:
con.close()
#db.tabla1.insert({"name3":"tutorials point3"})
#db.tabla1.insert({"name4":"tutorials point4"})
#db.tabla1.insert({"name5":"tutorials point5"})
#db.tabla1.insert({"name6":"tutorials point6"})
#db.tabla1.insert({"name7":"tutorials point7"})
#db.tabla1.insert({"name8":"tutorials point8"})
#r = redis.StrictRedis(host='34.70.196.45', port=6379, db=0)
#r.hset("llave", "campo1", "valor 1")
print("---------------- REDIS ------------------\n")
r = redis.Redis(host='35.194.18.116', port=6379)
try:
#r.delete("s")
#r.rpush("proyecto2",'{"Nombre" : "Prueba22", "Departamento" : "San marcos", "Edad" : 37, "Forma de contagio" : "Comunitario", "Estado" : "Muerto"}')
print("Elementos: "+str(r.llen("proyecto2")))
rango=r.lrange('proyecto2', 0, -1)
#for x in rango:
#print(x)
except Exception as e:
print(e)
finally:
r.close()
|
[
"jonathangmz79@hotmail.com"
] |
jonathangmz79@hotmail.com
|
d185abfa1bcbf71f66108fd4e5874e522bf64535
|
c840867a4fd6a462936905c585fa0bd919fb4e8c
|
/assignments/assign4/FractionalKnapsack/parser.py
|
8a230cf6b79085a545c5aea96a047708702290d4
|
[
"MIT"
] |
permissive
|
dgisolfi/Algorithms
|
0a0084edd02602f8f1015a64a7c9875b15a0bbdf
|
78584cc2b423d2dda8dd2fd6f39d33f85ab43fbe
|
refs/heads/master
| 2020-04-17T05:09:00.128893
| 2019-05-16T23:40:31
| 2019-05-16T23:40:31
| 166,265,240
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,149
|
py
|
#!/usr/bin/env python3
# 2019-5-5
import re
import sys
from .spice import Spice
from .knapsack import Knapsack
from .LinkedList import LinkedList
class Parser:
def __init__(self, filename):
self.filename = filename
self.__commands = []
self.__knapsacks = []
self.__spices = LinkedList()
self.parse()
''' Properties '''
@property
def commands(self):
return self.__commands
@property
def knapsacks(self):
return self.__knapsacks
@knapsacks.setter
def knapsacks(self, knapsacks):
self.__knapsacks = knapsacks
@property
def spices(self):
return self.__spices
@spices.setter
def spices(self, spices):
self.__spices = spices
''' Methods '''
def getCmds(self, filename):
try:
file = open(filename, 'r')
commands = file.readlines()
file.close()
return commands
except Exception as e:
print(f'Error: {e}')
def removeExtraSyntax(self):
self.__commands = [re.sub(r'\n', '', line) for line in self.__commands]
self.__commands = [re.sub(r'^--.*$', '', line) for line in self.__commands]
def parse(self):
# Get all commands from the file
self.__commands = self.getCmds(self.filename)
# Remove the comments and line breaks from the commands
self.removeExtraSyntax()
# parse all spices and knapsacks
for cmd in self.commands:
if re.match(r'^spice.*', cmd):
cmd = cmd.replace('spice ', '')
attributes = re.sub(r'\s+', '', cmd).split(';')
name = attributes[0].split('=')[1]
price = attributes[1].split('=')[1]
quantity = attributes[2].split('=')[1]
self.spices.append(Spice(name, price, quantity))
if re.match(r'^knapsack.*', cmd):
cmd = cmd.replace('knapsack', '').replace(';', '')
capacity = cmd.split('=')[1]
self.knapsacks.append(Knapsack(capacity))
|
[
"daniel.gisolfi1@marist.edu"
] |
daniel.gisolfi1@marist.edu
|
0f4416de8893caab062c43b9376c5c5b35a3203f
|
470631039da2cfa018192983f678278d63e1b2a7
|
/4-2-escape-pods.py
|
be686fda22404c030326a000a980763bd0cbe9a0
|
[] |
no_license
|
EkanshdeepGupta/google-foobar
|
69e19cccf692ae603340072eaab671c23fd9327f
|
802901db45988382181e8081a2d78ec02bfc0960
|
refs/heads/master
| 2022-09-22T11:18:19.391988
| 2020-05-30T14:22:59
| 2020-05-30T14:22:59
| 268,094,372
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,461
|
py
|
def BFS(path, s, t, parent):
visited =[False]*len(path[0])
queue=[]
queue.append(s)
visited[s] = True
while queue:
u = queue.pop(0)
for nbrIndex in range(len(path[u])):
if path[u][nbrIndex] > 0 and not visited[nbrIndex]:
queue.append(nbrIndex)
visited[nbrIndex] = True
parent[nbrIndex] = u
return visited[t]
# Classic implementation of Ford-Fulkerson algorithm
def solution(entrances, exits, path):
max_flow = 0
augmentPathExists=True
while augmentPathExists:
augmentPathExists=False
for source in entrances:
for sink in exits:
parent = [-1]*(len(path[0]))
if BFS(path, source, sink, parent):
augmentPathExists = True
path_flow = float("inf")
s = sink
while(s != source):
path_flow = min(path_flow, path[parent[s]][s])
s = parent[s]
max_flow += path_flow
# Update residual capacities of the edges and reverse edges along the path
v = sink
while(v != source):
u = parent[v]
path[u][v] -= path_flow
path[v][u] += path_flow
v = parent[v]
return max_flow
|
[
"ekanshdeep_gupta@yahoo.co.in"
] |
ekanshdeep_gupta@yahoo.co.in
|
372255fa07e12313944b56ff6dca3baa09d97714
|
15fb62305a2fa0146cc84b289642cc01a8407aab
|
/Python/237-deleteLinkedList.py
|
a509709d6ca7443c76ae14bac91de99d26e78a8d
|
[] |
no_license
|
geniousisme/leetCode
|
ec9bc91864cbe7520b085bdab0db67539d3627bd
|
6e12d67e4ab2d197d588b65c1ddb1f9c52a7e047
|
refs/heads/master
| 2016-09-09T23:34:03.522079
| 2015-09-23T16:15:05
| 2015-09-23T16:15:05
| 32,052,408
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 783
|
py
|
# Definition for singly-linked list.
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
# @param {ListNode} node
# @return {void} Do not return anything, modify node in-place instead.
def deleteNode(self, node):
node.val = node.next.val
node.next = node.next.next
def print_llst(self, head):
llst = ""
while head:
llst += str(head.val)
if head.next:
llst += '->'
head = head.next
print llst
if __name__ == '__main__':
s = Solution()
test = ListNode(1)
test.next = ListNode(2)
test.next.next = ListNode(3)
test.next.next.next = ListNode(4)
s.deleteNode(test)
s.print_llst(test)
|
[
"chia-hao.hsu@aiesec.net"
] |
chia-hao.hsu@aiesec.net
|
f1f1c51a67a97b2c36b3b5facdae527b7e51386c
|
41d9b92ef2a74a4ba05d27ffbe3beb87884c4ce7
|
/supervised_learning/0x01-classification/9-neural_network.py
|
68ab716d15f8e3f5da3364211cc615f26a5956e8
|
[] |
no_license
|
JosephK89/holbertonschool-machine_learning
|
3f96d886c61d8de99a23e4348fb045b9c930740e
|
aa5c500f7d8ebeec951f9ab5ec017cae64007c25
|
refs/heads/main
| 2023-08-14T18:42:53.481354
| 2021-10-10T19:53:40
| 2021-10-10T19:53:40
| 386,248,140
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,248
|
py
|
#!/usr/bin/env python3
"""module for neural network"""
import numpy as np
class NeuralNetwork:
"""NeuralNetwork Class"""
def __init__(self, nx, nodes):
"""Data Initialization"""
if type(nx) != int:
raise TypeError("nx must be an integer")
if nx < 1:
raise ValueError("nx must be a positive integer")
if type(nodes) != int:
raise TypeError("nodes must be an integer")
if nodes < 1:
raise ValueError("nodes must be a positive integer")
self.__W1 = np.random.randn(nodes, nx)
self.__b1 = np.zeros((nodes, 1))
self.__A1 = 0
self.__W2 = np.random.randn(1, nodes)
self.__b2 = 0
self.__A2 = 0
@property
def W1(self):
"""Getter for W1"""
return self.__W1
@property
def b1(self):
"""Getter for b1"""
return self.__b1
@property
def A1(self):
"""Getter for A1"""
return self.__A1
@property
def W2(self):
"""Getter for W2"""
return self.__W2
@property
def b2(self):
"""Getter for b2"""
return self.__b2
@property
def A2(self):
"""Getter for A2"""
return self.__A2
|
[
"josephkamel262@gmail.com"
] |
josephkamel262@gmail.com
|
90832494883d287bf9e2722eae730348b3b733ae
|
a2910b1f8393dc016e254f766ee134619fe8866b
|
/restfulpy/marshalling.py
|
947d7e92dc2b7b6881a6180513f69453e5d82253
|
[] |
no_license
|
mehdikiaee/restfulpy
|
2aee1c325f6f15d1165184a32b316efb911d7994
|
b1fcc08a1d1a098e915c89db90293d4e787e7411
|
refs/heads/master
| 2020-06-12T03:35:23.533919
| 2016-12-05T09:38:19
| 2016-12-05T09:38:19
| 75,609,025
| 0
| 0
| null | 2016-12-05T09:24:50
| 2016-12-05T09:24:49
| null |
UTF-8
|
Python
| false
| false
| 822
|
py
|
import functools
from sqlalchemy.orm import Query
def _serialize(obj, pagination=False, filtering=False, sorting=False, type_=None):
if isinstance(obj, Query):
if not type_:
raise ValueError('The `model_class` keyword argument is not provided')
if filtering:
obj = type_.filter_by_request(obj)
if sorting:
obj = type_.sort_by_request(obj)
if pagination:
obj = type_.paginate_by_request(obj)
obj = [o.to_dict() for o in obj]
return obj
def jsonify(*a, **options):
def decorator(func):
@functools.wraps(func)
def wrapper(*args, **kwargs):
return _serialize(func(*args, **kwargs), **options)
return wrapper
return decorator(a[0]) if a and callable(a[0]) else decorator
|
[
"vahid.mardani@gmail.com"
] |
vahid.mardani@gmail.com
|
529ae2e99c3ada7a4b9aaab74da53c0529ad3b1c
|
9743d5fd24822f79c156ad112229e25adb9ed6f6
|
/xai/brain/wordbase/prepositions/_absents.py
|
10302eb756514b03c8400541c8238bea1ae518b9
|
[
"MIT"
] |
permissive
|
cash2one/xai
|
de7adad1758f50dd6786bf0111e71a903f039b64
|
e76f12c9f4dcf3ac1c7c08b0cc8844c0b0a104b6
|
refs/heads/master
| 2021-01-19T12:33:54.964379
| 2017-01-28T02:00:50
| 2017-01-28T02:00:50
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 252
|
py
|
from xai.brain.wordbase.prepositions._absent import _ABSENT
#calss header
class _ABSENTS(_ABSENT, ):
def __init__(self,):
_ABSENT.__init__(self)
self.name = "ABSENTS"
self.specie = 'prepositions'
self.basic = "absent"
self.jsondata = {}
|
[
"xingwang1991@gmail.com"
] |
xingwang1991@gmail.com
|
1d88378508eea50ef6f6738d2e96906457b2a852
|
b7b2f80ab5e1ee0ea028576e3014b62b8d3a8d7e
|
/pyedit/pyedit-027/pyedlib/pedbuffs.py
|
cd408dd6c5c83c792e2b6e3b671c66451e8e1325
|
[] |
no_license
|
pglen/pgpygtk
|
4d1405478a714f003984cf3e3db04ff1f767470b
|
33f58010e304f1a312f2356de453ecedb7aa21ef
|
refs/heads/master
| 2021-01-22T01:18:52.238415
| 2019-01-01T01:37:24
| 2019-01-01T01:37:24
| 102,215,955
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 6,130
|
py
|
#!/usr/bin/env python
# Action Handler for buffers
import re, string, gtk, glib, gobject
import peddoc, pedync, pedconfig
from pedutil import *
# -------------------------------------------------------------------------
def buffers(self, self2):
head = "pyedit: buffers"
dialog = gtk.Dialog(head,
None,
gtk.DIALOG_MODAL | gtk.DIALOG_DESTROY_WITH_PARENT,
(gtk.STOCK_CANCEL, gtk.RESPONSE_REJECT,
gtk.STOCK_OK, gtk.RESPONSE_ACCEPT))
dialog.set_default_response(gtk.RESPONSE_ACCEPT)
dialog.set_icon_from_file(get_img_path("pyedit_sub.png"))
self.dialog = dialog
xx, yy = self2.mained.window.get_size()
dialog.set_default_size(3*xx/4, yy/2)
dialog.treestore = None
dialog.tree = create_tree(self, dialog)
dialog.tree.set_headers_visible(False)
dialog.tree.connect("cursor-changed", tree_sel_row, dialog, self2)
dialog.tree.connect("key-press-event", area_key, dialog)
dialog.tree.connect("key-release-event", area_key, dialog)
stree = gtk.ScrolledWindow()
stree.add(dialog.tree)
frame = gtk.Frame()
frame.set_shadow_type(gtk.SHADOW_ETCHED_IN)
frame.add(stree)
#dialog.vbox.set_spacing(8)
dialog.vbox.pack_start(frame)
blist = []; was = -1
nn2 = self2.notebook.get_current_page()
vcurr2 = self2.notebook.get_nth_page(nn2)
cc = self2.notebook.get_n_pages()
for mm in range(cc):
vcurr = self2.notebook.get_nth_page(mm)
if was == -1 and vcurr == vcurr2:
was = mm
blist.append(vcurr.area.fname)
update_treestore(dialog, dialog, blist, was)
dialog.show_all()
response = dialog.run()
dialog.destroy()
if response != gtk.RESPONSE_ACCEPT:
return
cc = self2.notebook.get_n_pages()
if cc == 0:
return
for mm in range(cc):
vcurr = self2.notebook.get_nth_page(mm)
if vcurr.area.fname == dialog.res:
self2.notebook.set_current_page(mm)
nn2 = self2.notebook.get_current_page()
vcurr2 = self2.notebook.get_nth_page(nn2)
self2.mained.window.set_focus(vcurr2.vbox.area)
self2.mained.window.show_all()
break
# ------------------------------------------------------------------------
def area_key(area, event, dialog):
if event.type == gtk.gdk.KEY_PRESS:
if event.keyval == gtk.keysyms.Escape:
#print "Esc"
dialog.response(gtk.RESPONSE_REJECT)
if event.type == gtk.gdk.KEY_PRESS:
if event.keyval == gtk.keysyms.Return:
#print "Ret"
dialog.response(gtk.RESPONSE_ACCEPT)
if event.keyval == gtk.keysyms.Alt_L or \
event.keyval == gtk.keysyms.Alt_R:
area.alt = True;
if event.keyval == gtk.keysyms.x or \
event.keyval == gtk.keysyms.X:
if area.alt:
dialog.response(gtk.RESPONSE_REJECT)
elif event.type == gtk.gdk.KEY_RELEASE:
if event.keyval == gtk.keysyms.Alt_L or \
event.keyval == gtk.keysyms.Alt_R:
area.alt = False;
# ------------------------------------------------------------------------
def tree_sel_row(xtree, dialog, self2):
sel = xtree.get_selection()
xmodel, xiter = sel.get_selected_rows()
# In muti selection, only process first
for aa in xiter:
xstr = xmodel.get_value(xmodel.get_iter(aa), 0)
#print "Selected:", xstr
dialog.res = xstr
break
# Tree handlers
def start_tree(self, win2):
if not win2.treestore:
win2.treestore = gtk.TreeStore(str)
# Delete previous contents
try:
while True:
root = win2.treestore.get_iter_first()
win2.treestore.remove(root)
except:
#print sys.exc_info()
pass
piter = win2.treestore.append(None, ["Searching .."])
win2.treestore.append(piter, ["None .."])
# -------------------------------------------------------------------------
def create_tree(self, win2, match = False, text = None):
start_tree(self, win2)
# create the TreeView using treestore
tv = gtk.TreeView(win2.treestore)
tv.set_enable_search(True)
# create a CellRendererText to render the data
cell = gtk.CellRendererText()
# create the TreeViewColumn to display the data
#tvcolumn = gtk.TreeViewColumn("Matches for '" + match + "'")
tvcolumn = gtk.TreeViewColumn()
# add the cell to the tvcolumn and allow it to expand
tvcolumn.pack_start(cell, True)
# set the cell "text" attribute to column 0 - retrieve text
# from that column in treestore
tvcolumn.add_attribute(cell, 'text', 0)
# add tvcolumn to treeview
tv.append_column(tvcolumn)
return tv
def update_treestore(self, win2, text, was):
#print "was", was
# Delete previous contents
try:
while True:
root = win2.treestore.get_iter_first()
win2.treestore.remove(root)
except:
pass
#print sys.exc_info()
if not text:
win2.treestore.append(None, ["No Match",])
return
cnt = 0; piter2 = None; next = False
try:
for line in text:
piter = win2.treestore.append(None, [cut_lead_space(line)])
if next:
next = False; piter2 = piter
if cnt == was - 1:
next = True
cnt += 1
except:
pass
#print sys.exc_info()
if piter2:
win2.tree.set_cursor(win2.treestore.get_path(piter2))
else:
root = win2.treestore.get_iter_first()
win2.tree.set_cursor(win2.treestore.get_path(root))
|
[
"peterglen99@gmail.com"
] |
peterglen99@gmail.com
|
64bb1e9f5015156188091feabf5221c0a4a41fd5
|
a73a18a2d0cfe04200cf2cac21c62a32c9d0cd6b
|
/amberbot.py
|
0482fea5721de46eae68635d01dbb0fa5e396781
|
[
"MIT"
] |
permissive
|
rodincode/python
|
bc82e53c51edbd19ba608f6a060f2e96e2e3fbcc
|
5bcc53b6103e53b37a3e40635502cbca53fec43e
|
refs/heads/main
| 2023-03-21T03:25:42.380571
| 2021-03-14T12:14:57
| 2021-03-14T12:14:57
| 335,714,051
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 5,604
|
py
|
'''from googlesearch import search
import requests
from bs4 import BeautifulSoup
import random
import pyttsx3
import pyaudio
import speech_recognition as sr
def speak(command):
engine = pyttsx3.init()
engine.say(command)
engine.runAndWait()
def speech_to_text():
r = sr.Recognizer()
with sr.Microphone() as source:
r.adjust_for_ambient_noise(source, duration = 0.2)
audio = r.listen(source)
try:
query = r.recognize_google(audio)
query = query.lower()
print("Did you say: ",query)
except Exception as e:
speak("Sorry, I can't understand.... ")
return "no info"
return query
speak("Hello, Maam. I am Don Jr. at your service. What can I do for you? ")
query = speech_to_text()
if "search" in query:
speak("What do you wan to search?")
query = input("What do you want to search::")+"wikipedia"
links = []
for i in search(query,tld='co.in',num=10, stop=10):
links.append(i)
print(links)
#random_link = random.choice(links)
#print(random_link)
random_link = links[0]
response = requests.get(random_link)
#print(response.text)
soup = BeautifulSoup(response.text, 'html.parser')
for para in soup.find_all('p'):
speak(para.text)
print(para.text)
elif "Youtube" in query:
'''
# python + SQLITE
# WEBCRAWLER
import sqlite3
import requests
from bs4 import BeautifulSoup
import re
# important commands of SQL
#
# 1. SELECT : select data from a single table
# 2. ORDER BY : sorting the data
# 3. DISTINCT : finding unique rows from the table
# 4. WHERE: filter rows of a result
# 5. INSERT: insert rows into a table
# 6. UPDATE: update existing rows
# 7. DELETE: Delete rows
# 8. REPLACE: insert a new row or replace the existing one
## Example::
## SELECT * FROM Students
# this command will select all values from a table called
# students.
## SELECT rollno,subject FROM Students WHERE subject="Maths"
#this will select all the students with their roll no
# who took mathematics as a subject
## INSERT INTO students (name, roll_no,subjects,class)
# VALUES ("Mike",45,"Maths",'VII-D')
# this will insert values of student mike in a table called
# students in their respective columns.
## Make/connect to a database
db = sqlite3.connect('crawl.db')
cursor = db.cursor()
cursor.execute("CREATE TABLE IF NOT EXISTS websites (url,title,canonical,content)")
url = input("Enter a url:: ")
if len(url)<1:
url = "https://www.youtube.com"
def get_info(url):
if 'www' in url:
name= re.findall('ht.*://www\.(.*?)\.',url)
name= name[0].capitalize()
return name
else:
name = re.findall('ht.*://(.*?)\.',url)
name = name[0].capitalize()
return name
webname = get_info(url)
print(webname)
urls = []
urls.append(url)
def extract_content(soup):
try:
title = soup.title.string
except:
title = "Null"
try:
rel = soup.find('link',{'rel':'canonical'})['href']
except:
rel = "Null"
try:
content = soup.text
content = content.replace('\n',"")
except:
content= "Null"
return title, rel, content
def extract_links(soup):
links = soup.find_all('a')
for link in links:
if str(link.get('href')).startswith(url)== True and link.get('href') not in urls:
if '.jpg' in link.get('href') or '.png' in link.get('href') or '.pdf' in link.get('href'):
continue
else:
urls.append(link.get('href'))
return (len(links))
def insert_data(data_from_url):
url, title, rel, content = data_from_url
cursor.execute("INSERT INTO websites (url,title,canonical,content) VALUES (?,?,?,?)",(url,title,rel,content))
db.commit() #save
counter=0
while counter<len(urls):
print(counter,"crawling:",urls[counter])
response = requests.get(urls[counter])
if response.status_code == 200:
html = response.text
soup = BeautifulSoup(html,'html.parser')
links = extract_links(soup)
title, rel, content = extract_content(soup)
insert_data((urls[counter],title, rel, content))
counter+=1
########### REGULAR EXPRESSIONS ###################
# \n --> next line
# \d --> digit
# \t --> space of tab
speech = '''
I have a dream that one day down in Alabama, with its vicious racists, with its governor having his lips dripping with the words of interposition and nullification – one day right there in Alabama little black boys and black girls will be able to join hands with little white boys and white girls as sisters and brothers.
I have a dream today.
I have a dream that one day every valley shall be exalted and every hill and mountain shall be made low, the rough places will be made plain, and the crooked places will be made straight, and the glory of the Lord shall be revealed and all flesh shall see it together.
'''
import re
x = re.search('[A-Z][a-z][a-z][a-z][a-z]', speech)
print(x)
## H.W.
'''
make a program that takes platenumber as input from the user
check if the input matches with the valid number plate:
a valid number plate consists of two alphabets in the
starting followed by two numbers, then a space and then
three numbers. For eg: XX78 787 is a valid plate number.
'''
|
[
"noreply@github.com"
] |
rodincode.noreply@github.com
|
1f5ddebc052c25f4314ffeefa2fae27d6667e05a
|
1d04ccbcd9819b66360120df6221b5309ae90de4
|
/tests/test_US22.py
|
b6a15f2b6af4c5eb1adc7b6b980af51e4e002cdb
|
[] |
no_license
|
yang12304/ssw555_GEDCOM
|
ed70f3f24507701bc64e6bc6e15aa880923f36ad
|
a371a90f9f76a7fb9af414e770316e75f09637d1
|
refs/heads/master
| 2020-04-01T08:32:08.615096
| 2018-10-09T17:11:40
| 2018-10-09T17:11:40
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 943
|
py
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 9/24/18
# @Author : Zhiren Yang
# @File : test_US22.py
# @Software: PyCharm
import unittest
from UserStories.US22 import unique_ids
class TestUniqueIds(unittest.TestCase):
def test_unique_ids(self):
self.assertRaises(Exception, unique_ids, [{'INDI': '@I1@'}, {'INDI': '@I1@'}], [{'FAM':'@F1@'}, {'FAM': '@F2@'}])
self.assertRaises(Exception, unique_ids, [{'INDI': '@I1@'}, {'INDI': '@I2@'}], [{'FAM':'@F1@'}, {'FAM': '@F1@'}])
self.assertRaises(Exception, unique_ids, [{'INDI': '@I1@'}, {'FAM': '@I1@'}])
self.assertRaises(Exception, unique_ids, [], [{'FAM':'@F1@'}, {'FAM':'@F1@'}])
self.assertRaises(Exception, unique_ids, [{'INDI': '@I1@'}, {'INDI': '@I1@'}], [])
self.assertEqual(unique_ids([{'INDI': '@I1@'}, {'INDI': '@I2@'}], [{'FAM':'@F1@'}, {'FAM': '@F2@'}]), None)
if __name__ == '__main__':
unittest.main()
|
[
"noreply@github.com"
] |
yang12304.noreply@github.com
|
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