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"""
Home of all the miscellaneous BrainPywer utilities that don't deserve their own files
"""
def thaw(snowflake):
"""
Tiny function to return the unix timestamp of a snowflake
:param snowflake: a discord snowflake (It's unique, just like you! ha.)
:type snowflake: int
:return: unix timestamp of the message
:rtype: int
"""
return ((snowflake >> 22)+1420070400000)/1000
|
"""
Home of all the miscellaneous BrainPywer utilities that don't deserve their own files
"""
def thaw(snowflake):
"""
Tiny function to return the unix timestamp of a snowflake
:param snowflake: a discord snowflake (It's unique, just like you! ha.)
:type snowflake: int
:return: unix timestamp of the message
:rtype: int
"""
return ((snowflake >> 22) + 1420070400000) / 1000
|
"""
Problem Description:
In india there is a puzzle"5 characters my name, reverse- forward is the same." You will be presented with a 5 character String, you have to tell whether it satisfy above puzzle, if yes output "Yes" else "No"
Input:
Input is String S of 5 characters.
Output:
Print "Yes" if the String S satisfies above constraints, else "No".
Constraints:
String length = 5
Sample Input:
level
Sample Output:
Yes
"""
a = input()
print("Yes") if a == a[::-1] else print("No")
|
"""
Problem Description:
In india there is a puzzle"5 characters my name, reverse- forward is the same." You will be presented with a 5 character String, you have to tell whether it satisfy above puzzle, if yes output "Yes" else "No"
Input:
Input is String S of 5 characters.
Output:
Print "Yes" if the String S satisfies above constraints, else "No".
Constraints:
String length = 5
Sample Input:
level
Sample Output:
Yes
"""
a = input()
print('Yes') if a == a[::-1] else print('No')
|
# Banker's Algorithm
n = 5 # no. of processes / rows
m = 4 # no. of resources / columns
# Maximum matrix - denotes maximum demand of each process
maxi = [[0, 0, 1, 2],
[1, 7, 5, 0],
[2, 3, 5, 6],
[0, 6, 5, 2],
[0, 6, 5, 6]]
# Allocation matrix - denotes no. of resources allocated to processes
alloc = [[0, 0, 1, 2],
[1, 0, 0, 0],
[1, 3, 5, 4],
[0, 6, 3, 2],
[0, 0, 1, 4]]
# Available matrix - no. of available resources of each type
avail = [1, 5, 2, 0]
f = [0]*n
ans = [0]*n
ind = 0
need = [[ 0 for i in range(m)]for i in range(n)]
for i in range(n):
for j in range(m):
need[i][j] = maxi[i][j] - alloc[i][j]
y = 0
for k in range(5):
for i in range(n):
if (f[i] == 0):
flag = 0
for j in range(m):
if (need[i][j] > avail[j]):
flag = 1
break
if (flag == 0):
ans[ind] = i
ind += 1
for y in range(m):
avail[y] += alloc[i][y]
f[i] = 1
print("Following is the SAFE Sequence")
for i in range(n - 1):
print(" P", ans[i], " ->", sep="", end="")
print(" P", ans[n - 1], sep="")
|
n = 5
m = 4
maxi = [[0, 0, 1, 2], [1, 7, 5, 0], [2, 3, 5, 6], [0, 6, 5, 2], [0, 6, 5, 6]]
alloc = [[0, 0, 1, 2], [1, 0, 0, 0], [1, 3, 5, 4], [0, 6, 3, 2], [0, 0, 1, 4]]
avail = [1, 5, 2, 0]
f = [0] * n
ans = [0] * n
ind = 0
need = [[0 for i in range(m)] for i in range(n)]
for i in range(n):
for j in range(m):
need[i][j] = maxi[i][j] - alloc[i][j]
y = 0
for k in range(5):
for i in range(n):
if f[i] == 0:
flag = 0
for j in range(m):
if need[i][j] > avail[j]:
flag = 1
break
if flag == 0:
ans[ind] = i
ind += 1
for y in range(m):
avail[y] += alloc[i][y]
f[i] = 1
print('Following is the SAFE Sequence')
for i in range(n - 1):
print(' P', ans[i], ' ->', sep='', end='')
print(' P', ans[n - 1], sep='')
|
class dotGuideline_t(object):
# no doc
Curve = None
Id = None
Spacing = None
|
class Dotguideline_T(object):
curve = None
id = None
spacing = None
|
# draw some simple shapes
# hint! The order in which you draw is important
# change x and y to move him around
x = width/2
y = 25
w = 23 # make him bigger or smaller
h = w # distort by changing the h seperatly
bmi = 1 # body mass index
# a line takes 4 values the starting point and the end point
line(x - w, y + h, x +w, y+h)
# a ellipse always takes 4 values as parameter
ellipse(x, y, w, h)
# a point just two
point(x, y) # look he has a nose
# a rectangle also takes 4 values like the ellipse
# but draws from its upper left corner
rect(x-bmi/2, y + h, bmi, h)
# you can also draw free forms by using vertecies
noFill()
beginShape()
vertex(x - w, y + h*3)
vertex(x - w, y + h*2)
vertex(x + w, y + h*2)
vertex(x + w, y + h*3)
endShape()
|
x = width / 2
y = 25
w = 23
h = w
bmi = 1
line(x - w, y + h, x + w, y + h)
ellipse(x, y, w, h)
point(x, y)
rect(x - bmi / 2, y + h, bmi, h)
no_fill()
begin_shape()
vertex(x - w, y + h * 3)
vertex(x - w, y + h * 2)
vertex(x + w, y + h * 2)
vertex(x + w, y + h * 3)
end_shape()
|
class ClientError(Exception):
pass
class ProtocolError(ClientError):
""" Error communicating with the OpenVPN server """
pass
class InvalidPacketError(ProtocolError):
""" Packet that doesn't make any sense and cannot be read correctly. """
pass
class InvalidHMACError(InvalidPacketError):
pass
class ProtocolLogicError(ProtocolError):
""" Unsupported stuff, unexpected packets, ...
Things that are readable but not supported by this implementation.
"""
pass
class AuthFailed(ClientError):
pass
class ConfigError(ClientError):
pass
class Channel:
def __init__(self):
self.queue = []
def push_packet(self, packet):
self.queue.append(packet)
def _send(self, packet):
self.c._send(packet)
|
class Clienterror(Exception):
pass
class Protocolerror(ClientError):
""" Error communicating with the OpenVPN server """
pass
class Invalidpacketerror(ProtocolError):
""" Packet that doesn't make any sense and cannot be read correctly. """
pass
class Invalidhmacerror(InvalidPacketError):
pass
class Protocollogicerror(ProtocolError):
""" Unsupported stuff, unexpected packets, ...
Things that are readable but not supported by this implementation.
"""
pass
class Authfailed(ClientError):
pass
class Configerror(ClientError):
pass
class Channel:
def __init__(self):
self.queue = []
def push_packet(self, packet):
self.queue.append(packet)
def _send(self, packet):
self.c._send(packet)
|
AdminApp.install('/tmp/installers/war_app/JspDemo.war', '[ -nopreCompileJSPs -distributeApp -nouseMetaDataFromBinary -nodeployejb -appname JspDemo -createMBeansForResources -noreloadEnabled -nodeployws -validateinstall warn -noprocessEmbeddedConfig -filepermission .*\.dll=755#.*\.so=755#.*\.a=755#.*\.sl=755 -noallowDispatchRemoteInclude -noallowServiceRemoteInclude -asyncRequestDispatchType DISABLED -nouseAutoLink -noenableClientModule -clientMode isolated -novalidateSchema -contextroot /JspDemo -MapModulesToServers [[ JspDemo JspDemo.war,WEB-INF/web.xml WebSphere:cell=mywasNode01Cell,node=mywasNode01,server=server1 ]] -MapWebModToVH [[ JspDemo JspDemo.war,WEB-INF/web.xml default_host ]] -CtxRootForWebMod [[ JspDemo JspDemo.war,WEB-INF/web.xml /JspDemo ]]]' )
AdminConfig.save()
AdminControl.invoke('WebSphere:name=ApplicationManager,process=server1,platform=proxy,node=mywasNode01,version=8.5.5.0,type=ApplicationManager,mbeanIdentifier=ApplicationManager,cell=mywasNode01Cell,spec=1.0', 'startApplication', '[JspDemo]', '[java.lang.String]')
|
AdminApp.install('/tmp/installers/war_app/JspDemo.war', '[ -nopreCompileJSPs -distributeApp -nouseMetaDataFromBinary -nodeployejb -appname JspDemo -createMBeansForResources -noreloadEnabled -nodeployws -validateinstall warn -noprocessEmbeddedConfig -filepermission .*\\.dll=755#.*\\.so=755#.*\\.a=755#.*\\.sl=755 -noallowDispatchRemoteInclude -noallowServiceRemoteInclude -asyncRequestDispatchType DISABLED -nouseAutoLink -noenableClientModule -clientMode isolated -novalidateSchema -contextroot /JspDemo -MapModulesToServers [[ JspDemo JspDemo.war,WEB-INF/web.xml WebSphere:cell=mywasNode01Cell,node=mywasNode01,server=server1 ]] -MapWebModToVH [[ JspDemo JspDemo.war,WEB-INF/web.xml default_host ]] -CtxRootForWebMod [[ JspDemo JspDemo.war,WEB-INF/web.xml /JspDemo ]]]')
AdminConfig.save()
AdminControl.invoke('WebSphere:name=ApplicationManager,process=server1,platform=proxy,node=mywasNode01,version=8.5.5.0,type=ApplicationManager,mbeanIdentifier=ApplicationManager,cell=mywasNode01Cell,spec=1.0', 'startApplication', '[JspDemo]', '[java.lang.String]')
|
class Queue(object):
def __init__(self,vals,n=10):
self.queue = [None for x in range(n)]
self.head = -1
self.tail = -1
for val in vals:
self.add(val)
def add(self,val):
if (self.tail+1) % len(self.queue) == self.head:
print("Queue full")
return False
elif self.head == -1 and self.tail == -1:
self.queue[0] = val
self.head = 0
self.tail = 0
elif self.tail == len(self.queue) -1 and self.head != 0:
print("Wrapping around")
self.queue[0] = val
self.tail = 0
else:
self.queue[self.tail+1] = val
self.tail += 1
def pop(self):
last = False
if self.head == -1:
return False
elif self.head == self.tail:
last = True
tmp = self.queue[self.head]
self.queue[self.head] = None
if last:
self.head = -1
self.tail = -1
else:
self.head = (self.head + 1) % len(self.queue)
return tmp
def __repr__(self):
return "{} Head: {}, Tail: {}".format(self.queue,self.head,self.tail)
if __name__ == "__main__":
queue = Queue(["a","b","c"],4)
print(queue)
queue.add("d")
print(queue)
queue.pop()
print(queue)
queue.add("e")
|
class Queue(object):
def __init__(self, vals, n=10):
self.queue = [None for x in range(n)]
self.head = -1
self.tail = -1
for val in vals:
self.add(val)
def add(self, val):
if (self.tail + 1) % len(self.queue) == self.head:
print('Queue full')
return False
elif self.head == -1 and self.tail == -1:
self.queue[0] = val
self.head = 0
self.tail = 0
elif self.tail == len(self.queue) - 1 and self.head != 0:
print('Wrapping around')
self.queue[0] = val
self.tail = 0
else:
self.queue[self.tail + 1] = val
self.tail += 1
def pop(self):
last = False
if self.head == -1:
return False
elif self.head == self.tail:
last = True
tmp = self.queue[self.head]
self.queue[self.head] = None
if last:
self.head = -1
self.tail = -1
else:
self.head = (self.head + 1) % len(self.queue)
return tmp
def __repr__(self):
return '{} Head: {}, Tail: {}'.format(self.queue, self.head, self.tail)
if __name__ == '__main__':
queue = queue(['a', 'b', 'c'], 4)
print(queue)
queue.add('d')
print(queue)
queue.pop()
print(queue)
queue.add('e')
|
"""
DAY 41 : Find first set bit.
https://www.geeksforgeeks.org/position-of-rightmost-set-bit/
QUESTION : Given an integer an N. The task is to return the position of first set bit found from the right
side in the binary representation of the number.
Note: If there is no set bit in the integer N, then return 0 from the function.
Expected Time Complexity: O(log N).
Expected Auxiliary Space: O(1).
Constraints:
0 <= N <= 10^8
"""
def getFirstSetBit(n):
pos = 1
while n>0:
if n&1 == 1:
return pos
n = n>>1
pos+=1
return 0
print(getFirstSetBit(12))
|
"""
DAY 41 : Find first set bit.
https://www.geeksforgeeks.org/position-of-rightmost-set-bit/
QUESTION : Given an integer an N. The task is to return the position of first set bit found from the right
side in the binary representation of the number.
Note: If there is no set bit in the integer N, then return 0 from the function.
Expected Time Complexity: O(log N).
Expected Auxiliary Space: O(1).
Constraints:
0 <= N <= 10^8
"""
def get_first_set_bit(n):
pos = 1
while n > 0:
if n & 1 == 1:
return pos
n = n >> 1
pos += 1
return 0
print(get_first_set_bit(12))
|
# Split into train and test data for GAN
def build_dataset(X, nx, ny, n_test = 0):
m = X.shape[0]
print("Number of images: " + str(m) )
X = X.T
Y = np.zeros((m,))
# Random permutation of samples
p = np.random.permutation(m)
X = X[:,p]
Y = Y[p]
# Reshape X and crop to 96x96 pixels
X_new = np.zeros((m,nx,ny))
for i in range(m):
Xtemp = np.reshape(X[:,i],(101,101))
X_new[i,:,:] = Xtemp[2:98,2:98]
X_train = X_new[0:m-n_test,:,:]
Y_train = Y[0:m-n_test]
X_test = X_new[m-n_test:m,:,:]
Y_test = Y[m-n_test:m]
print("X_train shape: " + str(X_train.shape))
print("Y_train shape: " + str(Y_train.shape))
return X_train, Y_train, X_test, Y_test
|
def build_dataset(X, nx, ny, n_test=0):
m = X.shape[0]
print('Number of images: ' + str(m))
x = X.T
y = np.zeros((m,))
p = np.random.permutation(m)
x = X[:, p]
y = Y[p]
x_new = np.zeros((m, nx, ny))
for i in range(m):
xtemp = np.reshape(X[:, i], (101, 101))
X_new[i, :, :] = Xtemp[2:98, 2:98]
x_train = X_new[0:m - n_test, :, :]
y_train = Y[0:m - n_test]
x_test = X_new[m - n_test:m, :, :]
y_test = Y[m - n_test:m]
print('X_train shape: ' + str(X_train.shape))
print('Y_train shape: ' + str(Y_train.shape))
return (X_train, Y_train, X_test, Y_test)
|
#
# Solution to Project Euler Problem 1
# by Lucas Chen
#
# Answer: 233168
#
NUM = 1000
# Compute sum of the naturals that are a multiple of 3 or 5 and less than [NUM]
def compute():
return sum(i for i in range(1, NUM) if i % 3 == 0 or i % 5 == 0)
if __name__ == "__main__":
print(compute())
|
num = 1000
def compute():
return sum((i for i in range(1, NUM) if i % 3 == 0 or i % 5 == 0))
if __name__ == '__main__':
print(compute())
|
n=int(input("enter a number "))
backup=n
num=0
while(n>0):
x=n%10
n=n//10
x=x**3
num+=x
if(num==backup):
print(num,"is a armstrong number")
else:
print(backup,"is not a armstrong number")
|
n = int(input('enter a number '))
backup = n
num = 0
while n > 0:
x = n % 10
n = n // 10
x = x ** 3
num += x
if num == backup:
print(num, 'is a armstrong number')
else:
print(backup, 'is not a armstrong number')
|
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
def f_gold ( arr , n , k ) :
for i in range ( 0 , k ) :
x = arr [ 0 ]
for j in range ( 0 , n - 1 ) :
arr [ j ] = arr [ j + 1 ]
arr [ n - 1 ] = x
#TOFILL
if __name__ == '__main__':
param = [
([75],0,0,),
([-58, -60, -38, 48, -2, 32, -48, -46, 90, -54, -18, 28, 72, 86, 0, -2, -74, 12, -58, 90, -30, 10, -88, 2, -14, 82, -82, -46, 2, -74],27,17,),
([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1],7,7,),
([45, 51, 26, 36, 10, 62, 62, 56, 61, 67, 86, 97, 31, 93, 32, 1, 14, 25, 24, 30, 1, 44, 7, 98, 56, 68, 53, 59, 30, 90, 79, 22],23,24,),
([-88, -72, -64, -46, -40, -16, -8, 0, 22, 34, 44],6,6,),
([0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0],23,30,),
([8, 17, 20, 23, 31, 32, 37, 37, 44, 45, 48, 64, 64, 67, 69, 71, 75, 77, 78, 81, 83, 87, 89, 92, 94],21,20,),
([-8, -88, -68, 48, 8, 50, 30, -88, 74, -16, 6, 74, 36, 32, 22, 96, -2, 70, 40, -46, 98, 34, 2, 94],23,13,),
([0, 0, 0, 0, 1, 1, 1, 1, 1],5,8,),
([80, 14, 35, 25, 60, 86, 45, 95, 32, 29, 94, 6, 63, 66, 38],9,7,)
]
filled_function_param = [
([75],0,0,),
([-58, -60, -38, 48, -2, 32, -48, -46, 90, -54, -18, 28, 72, 86, 0, -2, -74, 12, -58, 90, -30, 10, -88, 2, -14, 82, -82, -46, 2, -74],27,17,),
([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1],7,7,),
([45, 51, 26, 36, 10, 62, 62, 56, 61, 67, 86, 97, 31, 93, 32, 1, 14, 25, 24, 30, 1, 44, 7, 98, 56, 68, 53, 59, 30, 90, 79, 22],23,24,),
([-88, -72, -64, -46, -40, -16, -8, 0, 22, 34, 44],6,6,),
([0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0],23,30,),
([8, 17, 20, 23, 31, 32, 37, 37, 44, 45, 48, 64, 64, 67, 69, 71, 75, 77, 78, 81, 83, 87, 89, 92, 94],21,20,),
([-8, -88, -68, 48, 8, 50, 30, -88, 74, -16, 6, 74, 36, 32, 22, 96, -2, 70, 40, -46, 98, 34, 2, 94],23,13,),
([0, 0, 0, 0, 1, 1, 1, 1, 1],5,8,),
([80, 14, 35, 25, 60, 86, 45, 95, 32, 29, 94, 6, 63, 66, 38],9,7,)
]
n_success = 0
for i, parameters_set in enumerate(param):
f_filled(*(filled_function_param[i]))
f_gold(*parameters_set)
if parameters_set == filled_function_param[i]:
n_success+=1
print("#Results: %i, %i" % (n_success, len(param)))
|
def f_gold(arr, n, k):
for i in range(0, k):
x = arr[0]
for j in range(0, n - 1):
arr[j] = arr[j + 1]
arr[n - 1] = x
if __name__ == '__main__':
param = [([75], 0, 0), ([-58, -60, -38, 48, -2, 32, -48, -46, 90, -54, -18, 28, 72, 86, 0, -2, -74, 12, -58, 90, -30, 10, -88, 2, -14, 82, -82, -46, 2, -74], 27, 17), ([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1], 7, 7), ([45, 51, 26, 36, 10, 62, 62, 56, 61, 67, 86, 97, 31, 93, 32, 1, 14, 25, 24, 30, 1, 44, 7, 98, 56, 68, 53, 59, 30, 90, 79, 22], 23, 24), ([-88, -72, -64, -46, -40, -16, -8, 0, 22, 34, 44], 6, 6), ([0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0], 23, 30), ([8, 17, 20, 23, 31, 32, 37, 37, 44, 45, 48, 64, 64, 67, 69, 71, 75, 77, 78, 81, 83, 87, 89, 92, 94], 21, 20), ([-8, -88, -68, 48, 8, 50, 30, -88, 74, -16, 6, 74, 36, 32, 22, 96, -2, 70, 40, -46, 98, 34, 2, 94], 23, 13), ([0, 0, 0, 0, 1, 1, 1, 1, 1], 5, 8), ([80, 14, 35, 25, 60, 86, 45, 95, 32, 29, 94, 6, 63, 66, 38], 9, 7)]
filled_function_param = [([75], 0, 0), ([-58, -60, -38, 48, -2, 32, -48, -46, 90, -54, -18, 28, 72, 86, 0, -2, -74, 12, -58, 90, -30, 10, -88, 2, -14, 82, -82, -46, 2, -74], 27, 17), ([0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1], 7, 7), ([45, 51, 26, 36, 10, 62, 62, 56, 61, 67, 86, 97, 31, 93, 32, 1, 14, 25, 24, 30, 1, 44, 7, 98, 56, 68, 53, 59, 30, 90, 79, 22], 23, 24), ([-88, -72, -64, -46, -40, -16, -8, 0, 22, 34, 44], 6, 6), ([0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0], 23, 30), ([8, 17, 20, 23, 31, 32, 37, 37, 44, 45, 48, 64, 64, 67, 69, 71, 75, 77, 78, 81, 83, 87, 89, 92, 94], 21, 20), ([-8, -88, -68, 48, 8, 50, 30, -88, 74, -16, 6, 74, 36, 32, 22, 96, -2, 70, 40, -46, 98, 34, 2, 94], 23, 13), ([0, 0, 0, 0, 1, 1, 1, 1, 1], 5, 8), ([80, 14, 35, 25, 60, 86, 45, 95, 32, 29, 94, 6, 63, 66, 38], 9, 7)]
n_success = 0
for (i, parameters_set) in enumerate(param):
f_filled(*filled_function_param[i])
f_gold(*parameters_set)
if parameters_set == filled_function_param[i]:
n_success += 1
print('#Results: %i, %i' % (n_success, len(param)))
|
#
# PySNMP MIB module CISCO-DOT11-HT-PHY-CAPABILITY (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-DOT11-HT-PHY-CAPABILITY
# Produced by pysmi-0.3.4 at Mon Apr 29 17:38:23 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueRangeConstraint, ConstraintsIntersection, SingleValueConstraint, ConstraintsUnion, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueRangeConstraint", "ConstraintsIntersection", "SingleValueConstraint", "ConstraintsUnion", "ValueSizeConstraint")
ciscoAgentCapability, = mibBuilder.importSymbols("CISCO-SMI", "ciscoAgentCapability")
NotificationGroup, AgentCapabilities, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "AgentCapabilities", "ModuleCompliance")
MibScalar, MibTable, MibTableRow, MibTableColumn, iso, TimeTicks, Counter32, Unsigned32, MibIdentifier, Integer32, IpAddress, Counter64, Bits, NotificationType, ModuleIdentity, ObjectIdentity, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "iso", "TimeTicks", "Counter32", "Unsigned32", "MibIdentifier", "Integer32", "IpAddress", "Counter64", "Bits", "NotificationType", "ModuleIdentity", "ObjectIdentity", "Gauge32")
DisplayString, TextualConvention, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention", "TruthValue")
cDot11HtPhyCapability = ModuleIdentity((1, 3, 6, 1, 4, 1, 9, 7, 551))
cDot11HtPhyCapability.setRevisions(('2007-08-22 00:00',))
if mibBuilder.loadTexts: cDot11HtPhyCapability.setLastUpdated('200708220000Z')
if mibBuilder.loadTexts: cDot11HtPhyCapability.setOrganization('Cisco Systems, Inc.')
cDot11HtPhyCapabilityV12R0410BJA = AgentCapabilities((1, 3, 6, 1, 4, 1, 9, 7, 551, 1))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cDot11HtPhyCapabilityV12R0410BJA = cDot11HtPhyCapabilityV12R0410BJA.setProductRelease('Cisco IOS 12.4(10b)JA for the AP1250 802.11 \n Access Points')
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cDot11HtPhyCapabilityV12R0410BJA = cDot11HtPhyCapabilityV12R0410BJA.setStatus('current')
mibBuilder.exportSymbols("CISCO-DOT11-HT-PHY-CAPABILITY", cDot11HtPhyCapabilityV12R0410BJA=cDot11HtPhyCapabilityV12R0410BJA, PYSNMP_MODULE_ID=cDot11HtPhyCapability, cDot11HtPhyCapability=cDot11HtPhyCapability)
|
(object_identifier, octet_string, integer) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'OctetString', 'Integer')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(value_range_constraint, constraints_intersection, single_value_constraint, constraints_union, value_size_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueRangeConstraint', 'ConstraintsIntersection', 'SingleValueConstraint', 'ConstraintsUnion', 'ValueSizeConstraint')
(cisco_agent_capability,) = mibBuilder.importSymbols('CISCO-SMI', 'ciscoAgentCapability')
(notification_group, agent_capabilities, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'AgentCapabilities', 'ModuleCompliance')
(mib_scalar, mib_table, mib_table_row, mib_table_column, iso, time_ticks, counter32, unsigned32, mib_identifier, integer32, ip_address, counter64, bits, notification_type, module_identity, object_identity, gauge32) = mibBuilder.importSymbols('SNMPv2-SMI', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'iso', 'TimeTicks', 'Counter32', 'Unsigned32', 'MibIdentifier', 'Integer32', 'IpAddress', 'Counter64', 'Bits', 'NotificationType', 'ModuleIdentity', 'ObjectIdentity', 'Gauge32')
(display_string, textual_convention, truth_value) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention', 'TruthValue')
c_dot11_ht_phy_capability = module_identity((1, 3, 6, 1, 4, 1, 9, 7, 551))
cDot11HtPhyCapability.setRevisions(('2007-08-22 00:00',))
if mibBuilder.loadTexts:
cDot11HtPhyCapability.setLastUpdated('200708220000Z')
if mibBuilder.loadTexts:
cDot11HtPhyCapability.setOrganization('Cisco Systems, Inc.')
c_dot11_ht_phy_capability_v12_r0410_bja = agent_capabilities((1, 3, 6, 1, 4, 1, 9, 7, 551, 1))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
c_dot11_ht_phy_capability_v12_r0410_bja = cDot11HtPhyCapabilityV12R0410BJA.setProductRelease('Cisco IOS 12.4(10b)JA for the AP1250 802.11 \n Access Points')
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
c_dot11_ht_phy_capability_v12_r0410_bja = cDot11HtPhyCapabilityV12R0410BJA.setStatus('current')
mibBuilder.exportSymbols('CISCO-DOT11-HT-PHY-CAPABILITY', cDot11HtPhyCapabilityV12R0410BJA=cDot11HtPhyCapabilityV12R0410BJA, PYSNMP_MODULE_ID=cDot11HtPhyCapability, cDot11HtPhyCapability=cDot11HtPhyCapability)
|
#!/usr/bin/env python
class Solution:
def wordBreak(self, s, wordDict):
if len(s) == 0: return True
ret = False
for w in wordDict:
if s.startswith(w):
ret = ret or self.wordBreak(s[len(w):], wordDict)
return ret
s, wordDict = 'leetcode', ['leet', 'code']
s, wordDict = 'applepenapple', ['apple', 'pen']
s, wordDict = 'catsandog', ['cats', 'dog', 'sand', 'and', 'cat']
sol = Solution()
print(sol.wordBreak(s, wordDict))
|
class Solution:
def word_break(self, s, wordDict):
if len(s) == 0:
return True
ret = False
for w in wordDict:
if s.startswith(w):
ret = ret or self.wordBreak(s[len(w):], wordDict)
return ret
(s, word_dict) = ('leetcode', ['leet', 'code'])
(s, word_dict) = ('applepenapple', ['apple', 'pen'])
(s, word_dict) = ('catsandog', ['cats', 'dog', 'sand', 'and', 'cat'])
sol = solution()
print(sol.wordBreak(s, wordDict))
|
customer_basket_cost = 34
customer_basket_weight = 44
shipping_cost = customer_basket_weight * 1.2
#Write if statement here to calculate the total cost
if customer_basket_weight >= 100:
coste_cesta = customer_basket_cost
print("Total: " + str(coste_cesta) + " euros")
else:
coste_cesta = customer_basket_cost + shipping_cost
print("Total: " + str(coste_cesta) + " euros")
|
customer_basket_cost = 34
customer_basket_weight = 44
shipping_cost = customer_basket_weight * 1.2
if customer_basket_weight >= 100:
coste_cesta = customer_basket_cost
print('Total: ' + str(coste_cesta) + ' euros')
else:
coste_cesta = customer_basket_cost + shipping_cost
print('Total: ' + str(coste_cesta) + ' euros')
|
def test():
# Here we can either check objects created in the solution code, or the
# string value of the solution, available as __solution__. A helper for
# printing formatted messages is available as __msg__. See the testTemplate
# in the meta.json for details.
# If an assertion fails, the message will be displayed
assert not cat_cols is None, "Your answer for cat_cols does not exist. Have you assigned the list of labels for categorical columns to the correct variable name?"
assert type(cat_cols) == list, "cat_cols does not appear to be of type list. Can you store all the labels of the categorical columns into a list called cat_cols?"
assert set(cat_cols) == set(['species', 'island', 'sex']), "Make sure you only include the categorical columns in cat_cols. Hint: there are 3 categorical columns in the dataframe."
assert cat_cols == ['species', 'island', 'sex'], "You're close. Please make sure that the categorical columns are ordered in the same order they appear in the dataframe."
assert not categorical_plots is None, "Your answer for categorical_plots does not exist. Have you assigned the chart object to the correct variable name?"
assert type(categorical_plots) == alt.vegalite.v4.api.RepeatChart, "Your answer is not an Altair RepeatChart object. Check to make sure that you have assigned an alt.Chart object to categorical_plots and that you are repeating by columns in cat_cols."
assert categorical_plots.spec.mark == 'circle', "Make sure you are using the 'mark_circle' to generate the plots."
assert (
([categorical_plots.spec.encoding.x.shorthand,
categorical_plots.spec.encoding.y.shorthand] ==
[alt.RepeatRef(repeat = 'row'),
alt.RepeatRef(repeat = 'column')]) or
([categorical_plots.spec.encoding.x.shorthand,
categorical_plots.spec.encoding.y.shorthand] ==
[alt.RepeatRef(repeat = 'column'),
alt.RepeatRef(repeat = 'row')])
), "Make sure you specify that the chart set-up is repeated for different rows & columns as the x-axis and y-axis encodings. Hint: use alt.repeat() with row and column arguments."
assert categorical_plots.spec.encoding.x.type == "nominal", "Make sure you let Altair know that alt.repeat() on the x-axis encoding is a nominal type. Altair can't infer the type since alt.repeat() is not a column in the dataframe."
assert categorical_plots.spec.encoding.y.type == "nominal", "Make sure you let Altair know that alt.repeat() on the y-axis encoding is a nominal type. Altair can't infer the type since alt.repeat() is not a column in the dataframe."
assert categorical_plots.spec.encoding.color != alt.utils.schemapi.Undefined and (
categorical_plots.spec.encoding.color.field in {'count()', 'count():quantitative', 'count():Q'} or
categorical_plots.spec.encoding.color.shorthand in {'count()', 'count():quantitative', 'count():Q'}
), "Make sure you are using 'count()' as the color encoding."
assert categorical_plots.spec.encoding.color.title is None, "Make sure you specify that no title should be assigned for color encoding. Hint: use None"
assert categorical_plots.spec.encoding.size != alt.utils.schemapi.Undefined and (
categorical_plots.spec.encoding.size.field in {'count()', 'count():quantitative', 'count():Q'} or
categorical_plots.spec.encoding.size.shorthand in {'count()', 'count():quantitative', 'count():Q'}
), "Make sure you are using 'count()' as the size encoding."
assert categorical_plots.spec.encoding.size.title is None, "Make sure you specify that no title should be assigned for size encoding. Hint: use None"
assert categorical_plots.resolve != alt.utils.schemapi.Undefined and categorical_plots.resolve.scale != alt.utils.schemapi.Undefined and (
categorical_plots.resolve.scale.color == "independent" and
categorical_plots.resolve.scale.size == "independent"
), "Make sure to give the size and colour channels independent scales. Hint: use resolve_scale"
__msg__.good("You're correct, well done!")
|
def test():
assert not cat_cols is None, 'Your answer for cat_cols does not exist. Have you assigned the list of labels for categorical columns to the correct variable name?'
assert type(cat_cols) == list, 'cat_cols does not appear to be of type list. Can you store all the labels of the categorical columns into a list called cat_cols?'
assert set(cat_cols) == set(['species', 'island', 'sex']), 'Make sure you only include the categorical columns in cat_cols. Hint: there are 3 categorical columns in the dataframe.'
assert cat_cols == ['species', 'island', 'sex'], "You're close. Please make sure that the categorical columns are ordered in the same order they appear in the dataframe."
assert not categorical_plots is None, 'Your answer for categorical_plots does not exist. Have you assigned the chart object to the correct variable name?'
assert type(categorical_plots) == alt.vegalite.v4.api.RepeatChart, 'Your answer is not an Altair RepeatChart object. Check to make sure that you have assigned an alt.Chart object to categorical_plots and that you are repeating by columns in cat_cols.'
assert categorical_plots.spec.mark == 'circle', "Make sure you are using the 'mark_circle' to generate the plots."
assert [categorical_plots.spec.encoding.x.shorthand, categorical_plots.spec.encoding.y.shorthand] == [alt.RepeatRef(repeat='row'), alt.RepeatRef(repeat='column')] or [categorical_plots.spec.encoding.x.shorthand, categorical_plots.spec.encoding.y.shorthand] == [alt.RepeatRef(repeat='column'), alt.RepeatRef(repeat='row')], 'Make sure you specify that the chart set-up is repeated for different rows & columns as the x-axis and y-axis encodings. Hint: use alt.repeat() with row and column arguments.'
assert categorical_plots.spec.encoding.x.type == 'nominal', "Make sure you let Altair know that alt.repeat() on the x-axis encoding is a nominal type. Altair can't infer the type since alt.repeat() is not a column in the dataframe."
assert categorical_plots.spec.encoding.y.type == 'nominal', "Make sure you let Altair know that alt.repeat() on the y-axis encoding is a nominal type. Altair can't infer the type since alt.repeat() is not a column in the dataframe."
assert categorical_plots.spec.encoding.color != alt.utils.schemapi.Undefined and (categorical_plots.spec.encoding.color.field in {'count()', 'count():quantitative', 'count():Q'} or categorical_plots.spec.encoding.color.shorthand in {'count()', 'count():quantitative', 'count():Q'}), "Make sure you are using 'count()' as the color encoding."
assert categorical_plots.spec.encoding.color.title is None, 'Make sure you specify that no title should be assigned for color encoding. Hint: use None'
assert categorical_plots.spec.encoding.size != alt.utils.schemapi.Undefined and (categorical_plots.spec.encoding.size.field in {'count()', 'count():quantitative', 'count():Q'} or categorical_plots.spec.encoding.size.shorthand in {'count()', 'count():quantitative', 'count():Q'}), "Make sure you are using 'count()' as the size encoding."
assert categorical_plots.spec.encoding.size.title is None, 'Make sure you specify that no title should be assigned for size encoding. Hint: use None'
assert categorical_plots.resolve != alt.utils.schemapi.Undefined and categorical_plots.resolve.scale != alt.utils.schemapi.Undefined and (categorical_plots.resolve.scale.color == 'independent' and categorical_plots.resolve.scale.size == 'independent'), 'Make sure to give the size and colour channels independent scales. Hint: use resolve_scale'
__msg__.good("You're correct, well done!")
|
n, q = map(int, input().split())
graph = [[] for _ in range(n)]
for i in range(n - 1):
a, b = map(int, input().split())
graph[a - 1].append(b - 1)
graph[b - 1].append(a - 1)
group = [[], []]
town_color = [-1] * n
tmp = [[0, -1, 0]]
while tmp:
v, past, color = tmp.pop()
town_color[v] = color
group[color].append(v + 1)
for i in graph[v]:
if i == past: continue
tmp.append([i, v, color ^ 1])
# print(group[0])
# print(group[1])
# print(town_color)
for i in range(q):
c, d = map(int, input().split())
if town_color[c - 1] == town_color[d - 1]:
print("Town")
else:
print("Road")
|
(n, q) = map(int, input().split())
graph = [[] for _ in range(n)]
for i in range(n - 1):
(a, b) = map(int, input().split())
graph[a - 1].append(b - 1)
graph[b - 1].append(a - 1)
group = [[], []]
town_color = [-1] * n
tmp = [[0, -1, 0]]
while tmp:
(v, past, color) = tmp.pop()
town_color[v] = color
group[color].append(v + 1)
for i in graph[v]:
if i == past:
continue
tmp.append([i, v, color ^ 1])
for i in range(q):
(c, d) = map(int, input().split())
if town_color[c - 1] == town_color[d - 1]:
print('Town')
else:
print('Road')
|
def main():
grid = open("data.txt").readlines()
for i in range(0, len(grid)):
grid[i] = grid[i][:-1]
x_width = len(grid[i])
y_length = len(grid)
ctr = 0
y_pos = 0
x_pos = 0
product = 1
for i in [[1,1], [3,1], [5,1], [7,1], [1,2]]:
while y_pos < y_length:
if grid[y_pos][x_pos % x_width] == '#':
ctr += 1
x_pos += i[0]
y_pos += i[1]
print(ctr)
product *= ctr
x_pos=0
y_pos=0
ctr=0
print(product)
main()
|
def main():
grid = open('data.txt').readlines()
for i in range(0, len(grid)):
grid[i] = grid[i][:-1]
x_width = len(grid[i])
y_length = len(grid)
ctr = 0
y_pos = 0
x_pos = 0
product = 1
for i in [[1, 1], [3, 1], [5, 1], [7, 1], [1, 2]]:
while y_pos < y_length:
if grid[y_pos][x_pos % x_width] == '#':
ctr += 1
x_pos += i[0]
y_pos += i[1]
print(ctr)
product *= ctr
x_pos = 0
y_pos = 0
ctr = 0
print(product)
main()
|
class Node:
def __init__(self, data):
self.data = data
self.left = self.right = None
def printSpiral(root):
h = height(root)
condi = False
for i in range(1, h + 1):
printGivenLevel(root, i, condi)
condi = not condi
def printGivenLevel(root, level, condi):
if root == None:
return
if level == 1:
print(root.data, end = " ")
elif level > 1:
if condi:
printGivenLevel(root.left, level - 1, condi)
printGivenLevel(root.right, level - 1, condi)
else:
printGivenLevel(root.right, level - 1, condi)
printGivenLevel(root.left, level - 1, condi)
def height(node):
if node == None:
return 0
else:
lheight = height(node.left)
rheight = height(node.right)
if lheight > rheight:
return(lheight + 1)
else:
return(rheight + 1)
if __name__ == '__main__':
root = Node(1)
root.left = Node(2)
root.right = Node(3)
root.left.left = Node(7)
root.left.right = Node(6)
root.right.left = Node(5)
root.right.right = Node(4)
printSpiral(root)
|
class Node:
def __init__(self, data):
self.data = data
self.left = self.right = None
def print_spiral(root):
h = height(root)
condi = False
for i in range(1, h + 1):
print_given_level(root, i, condi)
condi = not condi
def print_given_level(root, level, condi):
if root == None:
return
if level == 1:
print(root.data, end=' ')
elif level > 1:
if condi:
print_given_level(root.left, level - 1, condi)
print_given_level(root.right, level - 1, condi)
else:
print_given_level(root.right, level - 1, condi)
print_given_level(root.left, level - 1, condi)
def height(node):
if node == None:
return 0
else:
lheight = height(node.left)
rheight = height(node.right)
if lheight > rheight:
return lheight + 1
else:
return rheight + 1
if __name__ == '__main__':
root = node(1)
root.left = node(2)
root.right = node(3)
root.left.left = node(7)
root.left.right = node(6)
root.right.left = node(5)
root.right.right = node(4)
print_spiral(root)
|
# Course title: Udemy Course: Introduction to the Python Language
# Instructor: Prof. Dr. Diego Mariano
# Example adapted by: Charles Fernandes de Souza
# Date: July 10, 2021
# Print Message
print("Hello, World!")
print("Running Google Colab with Python")
|
print('Hello, World!')
print('Running Google Colab with Python')
|
def merge(lst1,lst2):
lst = []
while lst1 and lst2:
if lst1[0] < lst2[0]:
lst.append(lst1[0])
lst1.remove(lst1[0])
elif lst1[0] > lst2[0]:
lst.append(lst2[0])
lst2.remove(lst2[0])
else:
lst.append(lst1[0])
lst1.remove(lst1[0])
lst2.remove(lst2[0])
if lst1:
lst.extend(lst1)
elif lst2:
lst.extend(lst2)
return lst
def mergeSort(lst):
if len(lst) <= 1:
return lst
mid = int(len(lst)/2)
left = mergeSort(lst[:mid])
right = mergeSort(lst[mid:])
return merge(left,right)
lst = list(map(int,raw_input('Enter the number list: ').split()))
print(mergeSort(lst))
|
def merge(lst1, lst2):
lst = []
while lst1 and lst2:
if lst1[0] < lst2[0]:
lst.append(lst1[0])
lst1.remove(lst1[0])
elif lst1[0] > lst2[0]:
lst.append(lst2[0])
lst2.remove(lst2[0])
else:
lst.append(lst1[0])
lst1.remove(lst1[0])
lst2.remove(lst2[0])
if lst1:
lst.extend(lst1)
elif lst2:
lst.extend(lst2)
return lst
def merge_sort(lst):
if len(lst) <= 1:
return lst
mid = int(len(lst) / 2)
left = merge_sort(lst[:mid])
right = merge_sort(lst[mid:])
return merge(left, right)
lst = list(map(int, raw_input('Enter the number list: ').split()))
print(merge_sort(lst))
|
class Alternativa():
def __init__(self, contenido: str, ayuda: str):
self.contenido = contenido
self.ayuda= ayuda
def mostrar_alternativa(self) -> None:
print(self.contenido)
if self.ayuda:
print(f"({self.ayuda})")
|
class Alternativa:
def __init__(self, contenido: str, ayuda: str):
self.contenido = contenido
self.ayuda = ayuda
def mostrar_alternativa(self) -> None:
print(self.contenido)
if self.ayuda:
print(f'({self.ayuda})')
|
"""
Specification for objects to be accessed, for the purpose of dataframe
interchange between libraries, via the ``__dataframe__`` method on a libraries'
data frame object.
For guiding requirements, see https://github.com/data-apis/dataframe-api/pull/35
Concepts in this design
-----------------------
1. A `Buffer` class. A *buffer* is a contiguous block of memory - this is the
only thing that actually maps to a 1-D array in a sense that it could be
converted to NumPy, CuPy, et al.
2. A `Column` class. A *column* has a single dtype. It can consist
of multiple *chunks*. A single chunk of a column (which may be the whole
column if ``num_chunks == 1``) is modeled as again a `Column` instance, and
contains 1 data *buffer* and (optionally) one *mask* for missing data.
3. A `DataFrame` class. A *data frame* is an ordered collection of *columns*,
which are identified with names that are unique strings. All the data
frame's rows are the same length. It can consist of multiple *chunks*. A
single chunk of a data frame is modeled as again a `DataFrame` instance.
4. A *mask* concept. A *mask* of a single-chunk column is a *buffer*.
5. A *chunk* concept. A *chunk* is a sub-dividing element that can be applied
to a *data frame* or a *column*.
Note that the only way to access these objects is through a call to
``__dataframe__`` on a data frame object. This is NOT meant as public API;
only think of instances of the different classes here to describe the API of
what is returned by a call to ``__dataframe__``. They are the concepts needed
to capture the memory layout and data access of a data frame.
Design decisions
----------------
**1. Use a separate column abstraction in addition to a dataframe interface.**
Rationales:
- This is how it works in R, Julia and Apache Arrow.
- Semantically most existing applications and users treat a column similar to a 1-D array
- We should be able to connect a column to the array data interchange mechanism(s)
Note that this does not imply a library must have such a public user-facing
abstraction (ex. ``pandas.Series``) - it can only be accessed via ``__dataframe__``.
**2. Use methods and properties on an opaque object rather than returning
hierarchical dictionaries describing memory**
This is better for implementations that may rely on, for example, lazy
computation.
**3. No row names. If a library uses row names, use a regular column for them.**
See discussion at https://github.com/wesm/dataframe-protocol/pull/1/files#r394316241
Optional row names are not a good idea, because people will assume they're present
(see cuDF experience, forced to add because pandas has them).
Requiring row names seems worse than leaving them out.
Note that row labels could be added in the future - right now there's no clear
requirements for more complex row labels that cannot be represented by a single
column. These do exist, for example Modin has has table and tree-based row
labels.
"""
class Buffer:
"""
Data in the buffer is guaranteed to be contiguous in memory.
Note that there is no dtype attribute present, a buffer can be thought of
as simply a block of memory. However, if the column that the buffer is
attached to has a dtype that's supported by DLPack and ``__dlpack__`` is
implemented, then that dtype information will be contained in the return
value from ``__dlpack__``.
This distinction is useful to support both data exchange via DLPack on a
buffer and (b) dtypes like variable-length strings which do not have a
fixed number of bytes per element.
"""
@property
def bufsize(self) -> int:
"""
Buffer size in bytes
"""
pass
@property
def ptr(self) -> int:
"""
Pointer to start of the buffer as an integer
"""
pass
def __dlpack__(self):
"""
Produce DLPack capsule (see array API standard).
Raises:
- TypeError : if the buffer contains unsupported dtypes.
- NotImplementedError : if DLPack support is not implemented
Useful to have to connect to array libraries. Support optional because
it's not completely trivial to implement for a Python-only library.
"""
raise NotImplementedError("__dlpack__")
def __dlpack_device__(self) -> Tuple[enum.IntEnum, int]:
"""
Device type and device ID for where the data in the buffer resides.
Uses device type codes matching DLPack. Enum members are::
- CPU = 1
- CUDA = 2
- CPU_PINNED = 3
- OPENCL = 4
- VULKAN = 7
- METAL = 8
- VPI = 9
- ROCM = 10
Note: must be implemented even if ``__dlpack__`` is not.
"""
pass
class Column:
"""
A column object, with only the methods and properties required by the
interchange protocol defined.
A column can contain one or more chunks. Each chunk can contain either one
or two buffers - one data buffer and (depending on null representation) it
may have a mask buffer.
TBD: Arrow has a separate "null" dtype, and has no separate mask concept.
Instead, it seems to use "children" for both columns with a bit mask,
and for nested dtypes. Unclear whether this is elegant or confusing.
This design requires checking the null representation explicitly.
The Arrow design requires checking:
1. the ARROW_FLAG_NULLABLE (for sentinel values)
2. if a column has two children, combined with one of those children
having a null dtype.
Making the mask concept explicit seems useful. One null dtype would
not be enough to cover both bit and byte masks, so that would mean
even more checking if we did it the Arrow way.
TBD: there's also the "chunk" concept here, which is implicit in Arrow as
multiple buffers per array (= column here). Semantically it may make
sense to have both: chunks were meant for example for lazy evaluation
of data which doesn't fit in memory, while multiple buffers per column
could also come from doing a selection operation on a single
contiguous buffer.
Given these concepts, one would expect chunks to be all of the same
size (say a 10,000 row dataframe could have 10 chunks of 1,000 rows),
while multiple buffers could have data-dependent lengths. Not an issue
in pandas if one column is backed by a single NumPy array, but in
Arrow it seems possible.
Are multiple chunks *and* multiple buffers per column necessary for
the purposes of this interchange protocol, or must producers either
reuse the chunk concept for this or copy the data?
Note: this Column object can only be produced by ``__dataframe__``, so
doesn't need its own version or ``__column__`` protocol.
"""
@property
def size(self) -> Optional[int]:
"""
Size of the column, in elements.
Corresponds to DataFrame.num_rows() if column is a single chunk;
equal to size of this current chunk otherwise.
"""
pass
@property
def offset(self) -> int:
"""
Offset of first element
May be > 0 if using chunks; for example for a column with N chunks of
equal size M (only the last chunk may be shorter),
``offset = n * M``, ``n = 0 .. N-1``.
"""
pass
@property
def dtype(self) -> Tuple[enum.IntEnum, int, str, str]:
"""
Dtype description as a tuple ``(kind, bit-width, format string, endianness)``
Kind :
- INT = 0
- UINT = 1
- FLOAT = 2
- BOOL = 20
- STRING = 21 # UTF-8
- DATETIME = 22
- CATEGORICAL = 23
Bit-width : the number of bits as an integer
Format string : data type description format string in Apache Arrow C
Data Interface format.
Endianness : current only native endianness (``=``) is supported
Notes:
- Kind specifiers are aligned with DLPack where possible (hence the
jump to 20, leave enough room for future extension)
- Masks must be specified as boolean with either bit width 1 (for bit
masks) or 8 (for byte masks).
- Dtype width in bits was preferred over bytes
- Endianness isn't too useful, but included now in case in the future
we need to support non-native endianness
- Went with Apache Arrow format strings over NumPy format strings
because they're more complete from a dataframe perspective
- Format strings are mostly useful for datetime specification, and
for categoricals.
- For categoricals, the format string describes the type of the
categorical in the data buffer. In case of a separate encoding of
the categorical (e.g. an integer to string mapping), this can
be derived from ``self.describe_categorical``.
- Data types not included: complex, Arrow-style null, binary, decimal,
and nested (list, struct, map, union) dtypes.
"""
pass
@property
def describe_categorical(self) -> dict[bool, bool, Optional[dict]]:
"""
If the dtype is categorical, there are two options:
- There are only values in the data buffer.
- There is a separate dictionary-style encoding for categorical values.
Raises RuntimeError if the dtype is not categorical
Content of returned dict:
- "is_ordered" : bool, whether the ordering of dictionary indices is
semantically meaningful.
- "is_dictionary" : bool, whether a dictionary-style mapping of
categorical values to other objects exists
- "mapping" : dict, Python-level only (e.g. ``{int: str}``).
None if not a dictionary-style categorical.
TBD: are there any other in-memory representations that are needed?
"""
pass
@property
def describe_null(self) -> Tuple[int, Any]:
"""
Return the missing value (or "null") representation the column dtype
uses, as a tuple ``(kind, value)``.
Kind:
- 0 : non-nullable
- 1 : NaN/NaT
- 2 : sentinel value
- 3 : bit mask
- 4 : byte mask
Value : if kind is "sentinel value", the actual value. None otherwise.
"""
pass
@property
def null_count(self) -> Optional[int]:
"""
Number of null elements, if known.
Note: Arrow uses -1 to indicate "unknown", but None seems cleaner.
"""
pass
def num_chunks(self) -> int:
"""
Return the number of chunks the column consists of.
"""
pass
def get_chunks(self, n_chunks : Optional[int] = None) -> Iterable[Column]:
"""
Return an iterator yielding the chunks.
See `DataFrame.get_chunks` for details on ``n_chunks``.
"""
pass
def get_data_buffer(self) -> Buffer:
"""
Return the buffer containing the data.
"""
pass
def get_mask(self) -> Buffer:
"""
Return the buffer containing the mask values indicating missing data.
Raises RuntimeError if null representation is not a bit or byte mask.
"""
pass
# def get_children(self) -> Iterable[Column]:
# """
# Children columns underneath the column, each object in this iterator
# must adhere to the column specification
# """
# pass
class DataFrame:
"""
A data frame class, with only the methods required by the interchange
protocol defined.
A "data frame" represents an ordered collection of named columns.
A column's "name" must be a unique string.
Columns may be accessed by name or by position.
This could be a public data frame class, or an object with the methods and
attributes defined on this DataFrame class could be returned from the
``__dataframe__`` method of a public data frame class in a library adhering
to the dataframe interchange protocol specification.
"""
def __dataframe__(self, nan_as_null : bool = False) -> dict:
"""
Produces a dictionary object following the dataframe protocol spec
``nan_as_null`` is a keyword intended for the consumer to tell the
producer to overwrite null values in the data with ``NaN`` (or ``NaT``).
It is intended for cases where the consumer does not support the bit
mask or byte mask that is the producer's native representation.
"""
self._nan_as_null = nan_as_null
return {
"dataframe": self, # DataFrame object adhering to the protocol
"version": 0 # Version number of the protocol
}
def num_columns(self) -> int:
"""
Return the number of columns in the DataFrame
"""
pass
def num_rows(self) -> Optional[int]:
# TODO: not happy with Optional, but need to flag it may be expensive
# why include it if it may be None - what do we expect consumers
# to do here?
"""
Return the number of rows in the DataFrame, if available
"""
pass
def num_chunks(self) -> int:
"""
Return the number of chunks the DataFrame consists of
"""
pass
def column_names(self) -> Iterable[str]:
"""
Return an iterator yielding the column names.
"""
pass
def get_column(self, i: int) -> Column:
"""
Return the column at the indicated position.
"""
pass
def get_column_by_name(self, name: str) -> Column:
"""
Return the column whose name is the indicated name.
"""
pass
def get_columns(self) -> Iterable[Column]:
"""
Return an iterator yielding the columns.
"""
pass
def select_columns(self, indices: Sequence[int]) -> DataFrame:
"""
Create a new DataFrame by selecting a subset of columns by index
"""
pass
def select_columns_by_name(self, names: Sequence[str]) -> DataFrame:
"""
Create a new DataFrame by selecting a subset of columns by name.
"""
pass
def get_chunks(self, n_chunks : Optional[int] = None) -> Iterable[DataFrame]:
"""
Return an iterator yielding the chunks.
By default (None), yields the chunks that the data is stored as by the
producer. If given, ``n_chunks`` must be a multiple of
``self.num_chunks()``, meaning the producer must subdivide each chunk
before yielding it.
"""
pass
|
"""
Specification for objects to be accessed, for the purpose of dataframe
interchange between libraries, via the ``__dataframe__`` method on a libraries'
data frame object.
For guiding requirements, see https://github.com/data-apis/dataframe-api/pull/35
Concepts in this design
-----------------------
1. A `Buffer` class. A *buffer* is a contiguous block of memory - this is the
only thing that actually maps to a 1-D array in a sense that it could be
converted to NumPy, CuPy, et al.
2. A `Column` class. A *column* has a single dtype. It can consist
of multiple *chunks*. A single chunk of a column (which may be the whole
column if ``num_chunks == 1``) is modeled as again a `Column` instance, and
contains 1 data *buffer* and (optionally) one *mask* for missing data.
3. A `DataFrame` class. A *data frame* is an ordered collection of *columns*,
which are identified with names that are unique strings. All the data
frame's rows are the same length. It can consist of multiple *chunks*. A
single chunk of a data frame is modeled as again a `DataFrame` instance.
4. A *mask* concept. A *mask* of a single-chunk column is a *buffer*.
5. A *chunk* concept. A *chunk* is a sub-dividing element that can be applied
to a *data frame* or a *column*.
Note that the only way to access these objects is through a call to
``__dataframe__`` on a data frame object. This is NOT meant as public API;
only think of instances of the different classes here to describe the API of
what is returned by a call to ``__dataframe__``. They are the concepts needed
to capture the memory layout and data access of a data frame.
Design decisions
----------------
**1. Use a separate column abstraction in addition to a dataframe interface.**
Rationales:
- This is how it works in R, Julia and Apache Arrow.
- Semantically most existing applications and users treat a column similar to a 1-D array
- We should be able to connect a column to the array data interchange mechanism(s)
Note that this does not imply a library must have such a public user-facing
abstraction (ex. ``pandas.Series``) - it can only be accessed via ``__dataframe__``.
**2. Use methods and properties on an opaque object rather than returning
hierarchical dictionaries describing memory**
This is better for implementations that may rely on, for example, lazy
computation.
**3. No row names. If a library uses row names, use a regular column for them.**
See discussion at https://github.com/wesm/dataframe-protocol/pull/1/files#r394316241
Optional row names are not a good idea, because people will assume they're present
(see cuDF experience, forced to add because pandas has them).
Requiring row names seems worse than leaving them out.
Note that row labels could be added in the future - right now there's no clear
requirements for more complex row labels that cannot be represented by a single
column. These do exist, for example Modin has has table and tree-based row
labels.
"""
class Buffer:
"""
Data in the buffer is guaranteed to be contiguous in memory.
Note that there is no dtype attribute present, a buffer can be thought of
as simply a block of memory. However, if the column that the buffer is
attached to has a dtype that's supported by DLPack and ``__dlpack__`` is
implemented, then that dtype information will be contained in the return
value from ``__dlpack__``.
This distinction is useful to support both data exchange via DLPack on a
buffer and (b) dtypes like variable-length strings which do not have a
fixed number of bytes per element.
"""
@property
def bufsize(self) -> int:
"""
Buffer size in bytes
"""
pass
@property
def ptr(self) -> int:
"""
Pointer to start of the buffer as an integer
"""
pass
def __dlpack__(self):
"""
Produce DLPack capsule (see array API standard).
Raises:
- TypeError : if the buffer contains unsupported dtypes.
- NotImplementedError : if DLPack support is not implemented
Useful to have to connect to array libraries. Support optional because
it's not completely trivial to implement for a Python-only library.
"""
raise not_implemented_error('__dlpack__')
def __dlpack_device__(self) -> Tuple[enum.IntEnum, int]:
"""
Device type and device ID for where the data in the buffer resides.
Uses device type codes matching DLPack. Enum members are::
- CPU = 1
- CUDA = 2
- CPU_PINNED = 3
- OPENCL = 4
- VULKAN = 7
- METAL = 8
- VPI = 9
- ROCM = 10
Note: must be implemented even if ``__dlpack__`` is not.
"""
pass
class Column:
"""
A column object, with only the methods and properties required by the
interchange protocol defined.
A column can contain one or more chunks. Each chunk can contain either one
or two buffers - one data buffer and (depending on null representation) it
may have a mask buffer.
TBD: Arrow has a separate "null" dtype, and has no separate mask concept.
Instead, it seems to use "children" for both columns with a bit mask,
and for nested dtypes. Unclear whether this is elegant or confusing.
This design requires checking the null representation explicitly.
The Arrow design requires checking:
1. the ARROW_FLAG_NULLABLE (for sentinel values)
2. if a column has two children, combined with one of those children
having a null dtype.
Making the mask concept explicit seems useful. One null dtype would
not be enough to cover both bit and byte masks, so that would mean
even more checking if we did it the Arrow way.
TBD: there's also the "chunk" concept here, which is implicit in Arrow as
multiple buffers per array (= column here). Semantically it may make
sense to have both: chunks were meant for example for lazy evaluation
of data which doesn't fit in memory, while multiple buffers per column
could also come from doing a selection operation on a single
contiguous buffer.
Given these concepts, one would expect chunks to be all of the same
size (say a 10,000 row dataframe could have 10 chunks of 1,000 rows),
while multiple buffers could have data-dependent lengths. Not an issue
in pandas if one column is backed by a single NumPy array, but in
Arrow it seems possible.
Are multiple chunks *and* multiple buffers per column necessary for
the purposes of this interchange protocol, or must producers either
reuse the chunk concept for this or copy the data?
Note: this Column object can only be produced by ``__dataframe__``, so
doesn't need its own version or ``__column__`` protocol.
"""
@property
def size(self) -> Optional[int]:
"""
Size of the column, in elements.
Corresponds to DataFrame.num_rows() if column is a single chunk;
equal to size of this current chunk otherwise.
"""
pass
@property
def offset(self) -> int:
"""
Offset of first element
May be > 0 if using chunks; for example for a column with N chunks of
equal size M (only the last chunk may be shorter),
``offset = n * M``, ``n = 0 .. N-1``.
"""
pass
@property
def dtype(self) -> Tuple[enum.IntEnum, int, str, str]:
"""
Dtype description as a tuple ``(kind, bit-width, format string, endianness)``
Kind :
- INT = 0
- UINT = 1
- FLOAT = 2
- BOOL = 20
- STRING = 21 # UTF-8
- DATETIME = 22
- CATEGORICAL = 23
Bit-width : the number of bits as an integer
Format string : data type description format string in Apache Arrow C
Data Interface format.
Endianness : current only native endianness (``=``) is supported
Notes:
- Kind specifiers are aligned with DLPack where possible (hence the
jump to 20, leave enough room for future extension)
- Masks must be specified as boolean with either bit width 1 (for bit
masks) or 8 (for byte masks).
- Dtype width in bits was preferred over bytes
- Endianness isn't too useful, but included now in case in the future
we need to support non-native endianness
- Went with Apache Arrow format strings over NumPy format strings
because they're more complete from a dataframe perspective
- Format strings are mostly useful for datetime specification, and
for categoricals.
- For categoricals, the format string describes the type of the
categorical in the data buffer. In case of a separate encoding of
the categorical (e.g. an integer to string mapping), this can
be derived from ``self.describe_categorical``.
- Data types not included: complex, Arrow-style null, binary, decimal,
and nested (list, struct, map, union) dtypes.
"""
pass
@property
def describe_categorical(self) -> dict[bool, bool, Optional[dict]]:
"""
If the dtype is categorical, there are two options:
- There are only values in the data buffer.
- There is a separate dictionary-style encoding for categorical values.
Raises RuntimeError if the dtype is not categorical
Content of returned dict:
- "is_ordered" : bool, whether the ordering of dictionary indices is
semantically meaningful.
- "is_dictionary" : bool, whether a dictionary-style mapping of
categorical values to other objects exists
- "mapping" : dict, Python-level only (e.g. ``{int: str}``).
None if not a dictionary-style categorical.
TBD: are there any other in-memory representations that are needed?
"""
pass
@property
def describe_null(self) -> Tuple[int, Any]:
"""
Return the missing value (or "null") representation the column dtype
uses, as a tuple ``(kind, value)``.
Kind:
- 0 : non-nullable
- 1 : NaN/NaT
- 2 : sentinel value
- 3 : bit mask
- 4 : byte mask
Value : if kind is "sentinel value", the actual value. None otherwise.
"""
pass
@property
def null_count(self) -> Optional[int]:
"""
Number of null elements, if known.
Note: Arrow uses -1 to indicate "unknown", but None seems cleaner.
"""
pass
def num_chunks(self) -> int:
"""
Return the number of chunks the column consists of.
"""
pass
def get_chunks(self, n_chunks: Optional[int]=None) -> Iterable[Column]:
"""
Return an iterator yielding the chunks.
See `DataFrame.get_chunks` for details on ``n_chunks``.
"""
pass
def get_data_buffer(self) -> Buffer:
"""
Return the buffer containing the data.
"""
pass
def get_mask(self) -> Buffer:
"""
Return the buffer containing the mask values indicating missing data.
Raises RuntimeError if null representation is not a bit or byte mask.
"""
pass
class Dataframe:
"""
A data frame class, with only the methods required by the interchange
protocol defined.
A "data frame" represents an ordered collection of named columns.
A column's "name" must be a unique string.
Columns may be accessed by name or by position.
This could be a public data frame class, or an object with the methods and
attributes defined on this DataFrame class could be returned from the
``__dataframe__`` method of a public data frame class in a library adhering
to the dataframe interchange protocol specification.
"""
def __dataframe__(self, nan_as_null: bool=False) -> dict:
"""
Produces a dictionary object following the dataframe protocol spec
``nan_as_null`` is a keyword intended for the consumer to tell the
producer to overwrite null values in the data with ``NaN`` (or ``NaT``).
It is intended for cases where the consumer does not support the bit
mask or byte mask that is the producer's native representation.
"""
self._nan_as_null = nan_as_null
return {'dataframe': self, 'version': 0}
def num_columns(self) -> int:
"""
Return the number of columns in the DataFrame
"""
pass
def num_rows(self) -> Optional[int]:
"""
Return the number of rows in the DataFrame, if available
"""
pass
def num_chunks(self) -> int:
"""
Return the number of chunks the DataFrame consists of
"""
pass
def column_names(self) -> Iterable[str]:
"""
Return an iterator yielding the column names.
"""
pass
def get_column(self, i: int) -> Column:
"""
Return the column at the indicated position.
"""
pass
def get_column_by_name(self, name: str) -> Column:
"""
Return the column whose name is the indicated name.
"""
pass
def get_columns(self) -> Iterable[Column]:
"""
Return an iterator yielding the columns.
"""
pass
def select_columns(self, indices: Sequence[int]) -> DataFrame:
"""
Create a new DataFrame by selecting a subset of columns by index
"""
pass
def select_columns_by_name(self, names: Sequence[str]) -> DataFrame:
"""
Create a new DataFrame by selecting a subset of columns by name.
"""
pass
def get_chunks(self, n_chunks: Optional[int]=None) -> Iterable[DataFrame]:
"""
Return an iterator yielding the chunks.
By default (None), yields the chunks that the data is stored as by the
producer. If given, ``n_chunks`` must be a multiple of
``self.num_chunks()``, meaning the producer must subdivide each chunk
before yielding it.
"""
pass
|
PAD = 0
EOS = 1
BOS = 2
UNK = 3
UNK_WORD = '<unk>'
PAD_WORD = '<pad>'
BOS_WORD = '<s>'
EOS_WORD = '</s>'
NEG_INF = -10000 # -float('inf')
|
pad = 0
eos = 1
bos = 2
unk = 3
unk_word = '<unk>'
pad_word = '<pad>'
bos_word = '<s>'
eos_word = '</s>'
neg_inf = -10000
|
# !/usr/bin/env python3
#############################################################################
# #
# Program purpose: Prints even numbers in list before an exception. #
# The exception being inclusive. #
# Program Author : Happi Yvan <ivensteinpoker@gmail.com> #
# Creation Date : July 17, 2019 #
# #
#############################################################################
# URL: https://www.w3resource.com/python-exercises/python-basic-exercises.php
def print_even(num, exc):
for x in num:
if int(x) % 2 == 0 and x != exc:
print(f"{x} ")
elif x == exc:
print(f"{x} ")
break
if __name__ == "__main__":
numbers = [
386, 462, 47, 418, 907, 344, 236, 375, 823, 566, 597, 978, 328, 615, 953, 345,
399, 162, 758, 219, 918, 237, 412, 566, 826, 248, 866, 950, 626, 949, 687, 217,
815, 67, 104, 58, 512, 24, 892, 894, 767, 553, 81, 379, 843, 831, 445, 742, 717,
958, 743, 527]
print_even(numbers, 237)
|
def print_even(num, exc):
for x in num:
if int(x) % 2 == 0 and x != exc:
print(f'{x} ')
elif x == exc:
print(f'{x} ')
break
if __name__ == '__main__':
numbers = [386, 462, 47, 418, 907, 344, 236, 375, 823, 566, 597, 978, 328, 615, 953, 345, 399, 162, 758, 219, 918, 237, 412, 566, 826, 248, 866, 950, 626, 949, 687, 217, 815, 67, 104, 58, 512, 24, 892, 894, 767, 553, 81, 379, 843, 831, 445, 742, 717, 958, 743, 527]
print_even(numbers, 237)
|
employees = []
with open("employees.txt", mode="r") as myfile:
for line in myfile:
employee = line.strip().split(",")
full_name, salary, birth_year, department, full_time = employee
employees.append((full_name, float(salary), int(birth_year),
department, full_time == "FULL_TIME"))
print(employees)
|
employees = []
with open('employees.txt', mode='r') as myfile:
for line in myfile:
employee = line.strip().split(',')
(full_name, salary, birth_year, department, full_time) = employee
employees.append((full_name, float(salary), int(birth_year), department, full_time == 'FULL_TIME'))
print(employees)
|
a=[]
n=int(input("Enter no. of elements: "))
print("Enter array:")
for x in range(n):
element=int(input())
a.append(element)
a.sort()
b=[]
for i in range(0,len(a)-1):
if a[i]==a[i+1]:
b.append(a[i])
b=list(set(b))
a=set(a)
while(len(b)>0):
a.remove(b[0])
b.pop(0)
print("Output:",end=" ")
print(sum(a))
|
a = []
n = int(input('Enter no. of elements: '))
print('Enter array:')
for x in range(n):
element = int(input())
a.append(element)
a.sort()
b = []
for i in range(0, len(a) - 1):
if a[i] == a[i + 1]:
b.append(a[i])
b = list(set(b))
a = set(a)
while len(b) > 0:
a.remove(b[0])
b.pop(0)
print('Output:', end=' ')
print(sum(a))
|
N, K = map(int, input().split())
A = list(map(int, input().split()))
bcs = [0] * 41
for i in range(N):
a = A[i]
for j in range(41):
if a & (1 << j) != 0:
bcs[j] += 1
X = 0
for i in range(40, -1, -1):
if bcs[i] >= N - bcs[i]:
continue
t = 1 << i
if X + t <= K:
X += t
result = 0
for i in range(N):
result += X ^ A[i]
print(result)
|
(n, k) = map(int, input().split())
a = list(map(int, input().split()))
bcs = [0] * 41
for i in range(N):
a = A[i]
for j in range(41):
if a & 1 << j != 0:
bcs[j] += 1
x = 0
for i in range(40, -1, -1):
if bcs[i] >= N - bcs[i]:
continue
t = 1 << i
if X + t <= K:
x += t
result = 0
for i in range(N):
result += X ^ A[i]
print(result)
|
def fuzzy_merge(df_1, df_2, key1, key2, threshold=90, limit=2):
"""
:param df_1: the left table to join
:param df_2: the right table to join
:param key1: key column of the left table
:param key2: key column of the right table
:param threshold: how close the matches should be to return a match, based on Levenshtein distance
:param limit: the amount of matches that will get returned, these are sorted high to low
:return: dataframe with boths keys and matches
"""
s = df_2[key2].tolist()
m = df_1[key1].apply(lambda x: process.extract(x, s, limit=limit))
df_1['matches'] = m
m2 = df_1['matches'].apply(lambda x: ', '.join([i[0] for i in x if i[1] >= threshold]))
df_1['matches'] = m2
return df_1
|
def fuzzy_merge(df_1, df_2, key1, key2, threshold=90, limit=2):
"""
:param df_1: the left table to join
:param df_2: the right table to join
:param key1: key column of the left table
:param key2: key column of the right table
:param threshold: how close the matches should be to return a match, based on Levenshtein distance
:param limit: the amount of matches that will get returned, these are sorted high to low
:return: dataframe with boths keys and matches
"""
s = df_2[key2].tolist()
m = df_1[key1].apply(lambda x: process.extract(x, s, limit=limit))
df_1['matches'] = m
m2 = df_1['matches'].apply(lambda x: ', '.join([i[0] for i in x if i[1] >= threshold]))
df_1['matches'] = m2
return df_1
|
# Assignment 1
def assignment_1():
print("Working on assignment 1\n")
# Assignment 2
def number_is_even(counter):
if counter % 2 == 0:
return True
else:
return False
def assignment_2():
for counter in range (1,21):
if number_is_even(counter):
print("Even number:", counter)
# Assignment 3
def assignment_3():
sum = 1
for counter in range(1, 6):
sum *= counter
print("Value of multiplication is", sum)
sum = 0
for counter in range(1,6):
sum += counter
print("Value of addition is", sum)
def main():
assignment_1()
assignment_2()
assignment_3()
print("End of assignments")
if __name__ == '__main__':
main()
|
def assignment_1():
print('Working on assignment 1\n')
def number_is_even(counter):
if counter % 2 == 0:
return True
else:
return False
def assignment_2():
for counter in range(1, 21):
if number_is_even(counter):
print('Even number:', counter)
def assignment_3():
sum = 1
for counter in range(1, 6):
sum *= counter
print('Value of multiplication is', sum)
sum = 0
for counter in range(1, 6):
sum += counter
print('Value of addition is', sum)
def main():
assignment_1()
assignment_2()
assignment_3()
print('End of assignments')
if __name__ == '__main__':
main()
|
class Solution:
def getSum(self, a: int, b: int) -> int:
a &= 0xFFFFFFFF
b &= 0xFFFFFFFF
while b:
carry = a & b
a = a ^ b
b = ((carry) << 1) & 0xFFFFFFFF
return a if a < 0x80000000 else ~(a ^ 0xFFFFFFFF)
|
class Solution:
def get_sum(self, a: int, b: int) -> int:
a &= 4294967295
b &= 4294967295
while b:
carry = a & b
a = a ^ b
b = carry << 1 & 4294967295
return a if a < 2147483648 else ~(a ^ 4294967295)
|
a=1
b=3
c=a+b
print(c)
|
a = 1
b = 3
c = a + b
print(c)
|
UL = {}
MT = {
'start_message' : ['Welcome to the StolenBottle Bot. I was created to store and reproduce all content that you and '
'other users share with me.\n'
'Send me whatever you want (text, audio, text, etc.) and I will reply with something from mine archive.\n'
'/help - show help\n/top - top of senders\n/lang - switch language',
'RUS',
'UKR']
}
|
ul = {}
mt = {'start_message': ['Welcome to the StolenBottle Bot. I was created to store and reproduce all content that you and other users share with me.\nSend me whatever you want (text, audio, text, etc.) and I will reply with something from mine archive.\n/help - show help\n/top - top of senders\n/lang - switch language', 'RUS', 'UKR']}
|
michelson_coding_test_case = """from unittest import TestCase
from tests import get_data
from pytezos.michelson.micheline import micheline_to_michelson, michelson_to_micheline
class MichelsonCodingTest{case}(TestCase):
def setUp(self):
self.maxDiff = None
"""
test_michelson_parse = """
def test_michelson_parse_{case}(self):
expected = get_data(
path='{json_path}')
actual = michelson_to_micheline(get_data(
path='{tz_path}'))
self.assertEqual(expected, actual)
"""
test_michelson_format = """
def test_michelson_format_{case}(self):
expected = get_data(
path='{tz_path}')
actual = micheline_to_michelson(get_data(
path='{json_path}'),
inline=True)
self.assertEqual(expected, actual)
"""
test_michelson_inverse = """
def test_michelson_inverse_{case}(self):
expected = get_data(
path='{json_path}')
actual = michelson_to_micheline(micheline_to_michelson(expected))
self.assertEqual(expected, actual)
"""
micheline_coding_test_case = """from unittest import TestCase
from tests import get_data
from pytezos.michelson.converter import build_schema, encode_micheline, decode_micheline
class MichelineCodingTest{case}(TestCase):
@classmethod
def setUpClass(cls):
cls.maxDiff = None
code = get_data(
path='{json_path}')
cls.schema = dict(
parameter=build_schema(code[0]),
storage=build_schema(code[1])
)
"""
test_micheline_inverse = """
def test_micheline_inverse_{case}(self):
expected = get_data(
path='{json_path}')
decoded = decode_micheline(expected, self.schema['{section}'])
actual = encode_micheline(decoded, self.schema['{section}'])
self.assertEqual(expected, actual)
"""
operation_forging_test_case = """from unittest import TestCase
from tests import get_data
from pytezos.operation.forge import forge_operation_group
class OperationForgingTest{case}(TestCase):
def setUp(self):
self.maxDiff = None
def test_forge_{case}(self):
expected = get_data(
path='{hex_path}')
actual = forge_operation_group(get_data(
path='{json_path}'))
self.assertEqual(expected, actual)
"""
big_map_test_case = """from unittest import TestCase
from tests import get_data
from pytezos.michelson.contract import ContractStorage
class BigMapCodingTest{case}(TestCase):
def setUp(self):
self.maxDiff = None
def test_big_map_{case}(self):
section = get_data(
path='{code_path}')
storage = ContractStorage(section)
big_map_diff = get_data(
path='{diff_path}')
expected = [
dict(key=item['key'], value=item.get('value'))
for item in big_map_diff
]
big_map = storage.big_map_diff_decode(expected)
actual = storage.big_map_diff_encode(big_map)
self.assertEqual(expected, actual)
"""
|
michelson_coding_test_case = 'from unittest import TestCase\n\nfrom tests import get_data\nfrom pytezos.michelson.micheline import micheline_to_michelson, michelson_to_micheline\n\n\nclass MichelsonCodingTest{case}(TestCase):\n \n def setUp(self):\n self.maxDiff = None\n'
test_michelson_parse = "\n def test_michelson_parse_{case}(self):\n expected = get_data(\n path='{json_path}')\n actual = michelson_to_micheline(get_data(\n path='{tz_path}'))\n self.assertEqual(expected, actual)\n"
test_michelson_format = "\n def test_michelson_format_{case}(self):\n expected = get_data(\n path='{tz_path}')\n actual = micheline_to_michelson(get_data(\n path='{json_path}'), \n inline=True)\n self.assertEqual(expected, actual)\n"
test_michelson_inverse = "\n def test_michelson_inverse_{case}(self):\n expected = get_data(\n path='{json_path}')\n actual = michelson_to_micheline(micheline_to_michelson(expected))\n self.assertEqual(expected, actual)\n"
micheline_coding_test_case = "from unittest import TestCase\n\nfrom tests import get_data\nfrom pytezos.michelson.converter import build_schema, encode_micheline, decode_micheline\n\n\nclass MichelineCodingTest{case}(TestCase):\n \n @classmethod\n def setUpClass(cls):\n cls.maxDiff = None\n code = get_data(\n path='{json_path}')\n cls.schema = dict(\n parameter=build_schema(code[0]),\n storage=build_schema(code[1])\n )\n"
test_micheline_inverse = "\n def test_micheline_inverse_{case}(self):\n expected = get_data(\n path='{json_path}')\n decoded = decode_micheline(expected, self.schema['{section}'])\n actual = encode_micheline(decoded, self.schema['{section}'])\n self.assertEqual(expected, actual)\n"
operation_forging_test_case = "from unittest import TestCase\n\nfrom tests import get_data\nfrom pytezos.operation.forge import forge_operation_group\n\n\nclass OperationForgingTest{case}(TestCase):\n\n def setUp(self):\n self.maxDiff = None\n \n def test_forge_{case}(self):\n expected = get_data(\n path='{hex_path}')\n actual = forge_operation_group(get_data(\n path='{json_path}'))\n self.assertEqual(expected, actual)\n"
big_map_test_case = "from unittest import TestCase\n\nfrom tests import get_data\nfrom pytezos.michelson.contract import ContractStorage\n\n\nclass BigMapCodingTest{case}(TestCase):\n\n def setUp(self):\n self.maxDiff = None\n\n def test_big_map_{case}(self): \n section = get_data(\n path='{code_path}')\n storage = ContractStorage(section)\n \n big_map_diff = get_data(\n path='{diff_path}')\n expected = [\n dict(key=item['key'], value=item.get('value'))\n for item in big_map_diff\n ]\n \n big_map = storage.big_map_diff_decode(expected)\n actual = storage.big_map_diff_encode(big_map)\n self.assertEqual(expected, actual)\n"
|
"""
Script that will navigate the "maze" in testworld
"""
def navigate(env, callback):
for _ in range(100):
callback(env.step([0, 0]))
for _ in range(11):
callback(env.step([0, -30]))
for _ in range(10):
callback(env.step([0, 0]))
for _ in range(123):
callback(env.step([80, 0]))
for _ in range(26):
callback(env.step([0, 0]))
for _ in range(10):
callback(env.step([0, 30]))
for _ in range(100):
callback(env.step([150, 0]))
for _ in range(100):
callback(env.step([0, 0]))
for _ in range(10):
callback(env.step([0, 30]))
for _ in range(7):
callback(env.step([0, 0]))
for _ in range(100):
callback(env.step([100, 0]))
for _ in range(30):
callback(env.step([0, 0]))
|
"""
Script that will navigate the "maze" in testworld
"""
def navigate(env, callback):
for _ in range(100):
callback(env.step([0, 0]))
for _ in range(11):
callback(env.step([0, -30]))
for _ in range(10):
callback(env.step([0, 0]))
for _ in range(123):
callback(env.step([80, 0]))
for _ in range(26):
callback(env.step([0, 0]))
for _ in range(10):
callback(env.step([0, 30]))
for _ in range(100):
callback(env.step([150, 0]))
for _ in range(100):
callback(env.step([0, 0]))
for _ in range(10):
callback(env.step([0, 30]))
for _ in range(7):
callback(env.step([0, 0]))
for _ in range(100):
callback(env.step([100, 0]))
for _ in range(30):
callback(env.step([0, 0]))
|
#!/usr/bin/python
# list_sorting.py
numbers = [4, 3, 6, 1, 2, 0, 5 ]
print (numbers)
numbers.sort()
print (numbers)
|
numbers = [4, 3, 6, 1, 2, 0, 5]
print(numbers)
numbers.sort()
print(numbers)
|
def read_file(path):
f = open(path, 'a+')
f.seek(0)
files = [line for line in f.readlines()]
f.close()
return files
|
def read_file(path):
f = open(path, 'a+')
f.seek(0)
files = [line for line in f.readlines()]
f.close()
return files
|
#
# PySNMP MIB module ELTEX-MES-BRIDGE-ERPS-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ELTEX-MES-BRIDGE-ERPS-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 18:46:17 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, ValueRangeConstraint, SingleValueConstraint, ValueSizeConstraint, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueRangeConstraint", "SingleValueConstraint", "ValueSizeConstraint", "ConstraintsIntersection")
eltMesBridgeExtMIBObjects, = mibBuilder.importSymbols("ELTEX-MES-BRIDGE-EXT-MIB", "eltMesBridgeExtMIBObjects")
VlanIdOrNone, = mibBuilder.importSymbols("Q-BRIDGE-MIB", "VlanIdOrNone")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
iso, NotificationType, Integer32, Counter64, MibIdentifier, TimeTicks, Counter32, Unsigned32, MibScalar, MibTable, MibTableRow, MibTableColumn, ObjectIdentity, ModuleIdentity, Gauge32, Bits, IpAddress = mibBuilder.importSymbols("SNMPv2-SMI", "iso", "NotificationType", "Integer32", "Counter64", "MibIdentifier", "TimeTicks", "Counter32", "Unsigned32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ObjectIdentity", "ModuleIdentity", "Gauge32", "Bits", "IpAddress")
TruthValue, RowStatus, MacAddress, TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TruthValue", "RowStatus", "MacAddress", "TextualConvention", "DisplayString")
eltMesErpsMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1))
eltMesErpsMIB.setRevisions(('2015-11-19 00:00',))
if mibBuilder.loadTexts: eltMesErpsMIB.setLastUpdated('201511190000Z')
if mibBuilder.loadTexts: eltMesErpsMIB.setOrganization('Eltex Ltd.')
eltMesErpsCtrl = MibIdentifier((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1))
eltMesErpsInfo = MibIdentifier((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 2))
eltMesErpsMgmt = MibIdentifier((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3))
eltMesErpsNotify = MibIdentifier((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4))
class EltErpsEnabledState(TextualConvention, Integer32):
reference = 'ITU-T G.8032'
status = 'deprecated'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2))
namedValues = NamedValues(("enabled", 1), ("disabled", 2))
class EltErpsMgmtRAPSPortState(TextualConvention, Integer32):
reference = 'ITU-T G.8032'
status = 'deprecated'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))
namedValues = NamedValues(("fowarding", 1), ("blocking", 2), ("signal-fail", 3), ("manual-switch", 4), ("forced-switch", 5))
class EltErpsMgmtRAPSPortId(TextualConvention, Integer32):
reference = 'ITU-T G.8032'
status = 'deprecated'
subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3))
namedValues = NamedValues(("none", 1), ("west", 2), ("east", 3))
eltErpsAdminState = MibScalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1, 1), EltErpsEnabledState().clone('disabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsAdminState.setStatus('deprecated')
eltErpsLogState = MibScalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1, 2), EltErpsEnabledState().clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsLogState.setStatus('deprecated')
eltErpsTrapState = MibScalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1, 3), EltErpsEnabledState().clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsTrapState.setStatus('deprecated')
eltErpsPendingAction = MibScalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("copyPendingActive", 1), ("copyActivePending", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsPendingAction.setStatus('deprecated')
eltErpsPendingActionVlan = MibScalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1, 6), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsPendingActionVlan.setStatus('deprecated')
eltErpsGetConfigId = MibScalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("active", 1), ("pending", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsGetConfigId.setStatus('deprecated')
eltErpsMgmtRAPSVlanTable = MibTable((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1), )
if mibBuilder.loadTexts: eltErpsMgmtRAPSVlanTable.setStatus('deprecated')
eltErpsMgmtRAPSVlanEntry = MibTableRow((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1), ).setIndexNames((0, "ELTEX-MES-BRIDGE-ERPS-MIB", "eltErpsMgmtRAPSVlanId"))
if mibBuilder.loadTexts: eltErpsMgmtRAPSVlanEntry.setStatus('deprecated')
eltErpsMgmtRAPSVlanId = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: eltErpsMgmtRAPSVlanId.setStatus('deprecated')
eltErpsMgmtRAPSWestPort = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0, 0), ValueRangeConstraint(1, 65535), ))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSWestPort.setStatus('deprecated')
eltErpsMgmtRAPSWestPortState = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 3), EltErpsMgmtRAPSPortState()).setMaxAccess("readonly")
if mibBuilder.loadTexts: eltErpsMgmtRAPSWestPortState.setStatus('deprecated')
eltErpsMgmtRAPSEastPort = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(0, 0), ValueRangeConstraint(1, 65535), ))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSEastPort.setStatus('deprecated')
eltErpsMgmtRAPSEastPortState = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 5), EltErpsMgmtRAPSPortState()).setMaxAccess("readonly")
if mibBuilder.loadTexts: eltErpsMgmtRAPSEastPortState.setStatus('deprecated')
eltErpsMgmtRAPSRPLPort = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 6), EltErpsMgmtRAPSPortId().clone('none')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSRPLPort.setStatus('deprecated')
eltErpsMgmtRAPSRPLOwnerAdminState = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 7), EltErpsEnabledState().clone('disabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSRPLOwnerAdminState.setStatus('deprecated')
eltErpsMgmtRAPSRingMEL = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 7)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSRingMEL.setStatus('deprecated')
eltErpsMgmtRAPSHoldOffTime = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 10000))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSHoldOffTime.setStatus('deprecated')
eltErpsMgmtRAPSGuardTime = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(10, 2000)).clone(500)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSGuardTime.setStatus('deprecated')
eltErpsMgmtRAPSWTRTime = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 11), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 12)).clone(5)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSWTRTime.setStatus('deprecated')
eltErpsMgmtRAPSRingState = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6))).clone(namedValues=NamedValues(("init", 1), ("idle", 2), ("protection", 3), ("manual-switch", 4), ("forced-switch", 5), ("pending", 6)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: eltErpsMgmtRAPSRingState.setStatus('deprecated')
eltErpsMgmtRAPSRingAdminState = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 13), EltErpsEnabledState().clone('disabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSRingAdminState.setStatus('deprecated')
eltErpsMgmtRAPSRPLOwnerOperStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 14), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("active", 1), ("inactive", 2), ("disabled", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: eltErpsMgmtRAPSRPLOwnerOperStatus.setStatus('deprecated')
eltErpsMgmtRAPSProtectionVlanRangeList1to1024 = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 15), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSProtectionVlanRangeList1to1024.setStatus('deprecated')
eltErpsMgmtRAPSProtectionVlanRangeList1025to2048 = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 16), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSProtectionVlanRangeList1025to2048.setStatus('deprecated')
eltErpsMgmtRAPSProtectionVlanRangeList2049to3072 = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 17), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSProtectionVlanRangeList2049to3072.setStatus('deprecated')
eltErpsMgmtRAPSProtectionVlanRangeList3073to4094 = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 18), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSProtectionVlanRangeList3073to4094.setStatus('deprecated')
eltErpsMgmtRAPSRevertive = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 19), TruthValue().clone('true')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSRevertive.setStatus('deprecated')
eltErpsMgmtRAPSProtocolVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 20), Integer32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(1, 1), ValueRangeConstraint(2, 2), )).clone(2)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSProtocolVersion.setStatus('deprecated')
eltErpsMgmtRAPSPortForcedSwitch = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 21), EltErpsMgmtRAPSPortId().clone('none')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSPortForcedSwitch.setStatus('deprecated')
eltErpsMgmtRAPSPortManualSwitch = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 22), EltErpsMgmtRAPSPortId().clone('none')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtRAPSPortManualSwitch.setStatus('deprecated')
eltErpsMgmtRAPSRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 23), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: eltErpsMgmtRAPSRowStatus.setStatus('deprecated')
eltErpsMgmtSubRingCtrlTable = MibTable((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 2), )
if mibBuilder.loadTexts: eltErpsMgmtSubRingCtrlTable.setStatus('deprecated')
eltErpsMgmtSubRingCtrlEntry = MibTableRow((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 2, 1), ).setIndexNames((0, "ELTEX-MES-BRIDGE-ERPS-MIB", "eltErpsMgmtSubRingCtrlRAPSVlanId"), (0, "ELTEX-MES-BRIDGE-ERPS-MIB", "eltErpsMgmtSubRingCtrlSubRingRAPSVlanId"))
if mibBuilder.loadTexts: eltErpsMgmtSubRingCtrlEntry.setStatus('deprecated')
eltErpsMgmtSubRingCtrlRAPSVlanId = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 2, 1, 1), Integer32())
if mibBuilder.loadTexts: eltErpsMgmtSubRingCtrlRAPSVlanId.setStatus('deprecated')
eltErpsMgmtSubRingCtrlSubRingRAPSVlanId = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 2, 1, 2), Integer32())
if mibBuilder.loadTexts: eltErpsMgmtSubRingCtrlSubRingRAPSVlanId.setStatus('deprecated')
eltErpsMgmtSubRingCtrlTCPropagationState = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 2, 1, 3), EltErpsEnabledState().clone('disabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: eltErpsMgmtSubRingCtrlTCPropagationState.setStatus('deprecated')
eltErpsMgmtSubRingCtrlRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 2, 1, 4), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: eltErpsMgmtSubRingCtrlRowStatus.setStatus('deprecated')
eltMesErpsNotifyPrefix = MibIdentifier((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4, 0))
eltErpsSFDetectedTrap = NotificationType((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4, 0, 1)).setObjects(("ELTEX-MES-BRIDGE-ERPS-MIB", "eltErpsNodeId"))
if mibBuilder.loadTexts: eltErpsSFDetectedTrap.setStatus('deprecated')
eltErpsSFClearedTrap = NotificationType((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4, 0, 2)).setObjects(("ELTEX-MES-BRIDGE-ERPS-MIB", "eltErpsNodeId"))
if mibBuilder.loadTexts: eltErpsSFClearedTrap.setStatus('deprecated')
eltErpsRPLOwnerConflictTrap = NotificationType((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4, 0, 3)).setObjects(("ELTEX-MES-BRIDGE-ERPS-MIB", "eltErpsNodeId"))
if mibBuilder.loadTexts: eltErpsRPLOwnerConflictTrap.setStatus('deprecated')
eltMesErpsNotificationBindings = MibIdentifier((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4, 2))
eltErpsNodeId = MibScalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4, 2, 1), MacAddress()).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: eltErpsNodeId.setStatus('deprecated')
mibBuilder.exportSymbols("ELTEX-MES-BRIDGE-ERPS-MIB", EltErpsMgmtRAPSPortState=EltErpsMgmtRAPSPortState, eltErpsMgmtSubRingCtrlRAPSVlanId=eltErpsMgmtSubRingCtrlRAPSVlanId, EltErpsEnabledState=EltErpsEnabledState, eltErpsMgmtRAPSEastPort=eltErpsMgmtRAPSEastPort, eltErpsMgmtRAPSPortForcedSwitch=eltErpsMgmtRAPSPortForcedSwitch, eltErpsMgmtRAPSRingAdminState=eltErpsMgmtRAPSRingAdminState, eltErpsSFDetectedTrap=eltErpsSFDetectedTrap, eltErpsMgmtRAPSRowStatus=eltErpsMgmtRAPSRowStatus, EltErpsMgmtRAPSPortId=EltErpsMgmtRAPSPortId, eltErpsMgmtRAPSVlanEntry=eltErpsMgmtRAPSVlanEntry, eltErpsMgmtSubRingCtrlRowStatus=eltErpsMgmtSubRingCtrlRowStatus, eltMesErpsMgmt=eltMesErpsMgmt, eltErpsMgmtRAPSRPLOwnerOperStatus=eltErpsMgmtRAPSRPLOwnerOperStatus, eltErpsMgmtRAPSEastPortState=eltErpsMgmtRAPSEastPortState, eltErpsMgmtRAPSWestPortState=eltErpsMgmtRAPSWestPortState, eltMesErpsNotificationBindings=eltMesErpsNotificationBindings, eltErpsNodeId=eltErpsNodeId, eltErpsMgmtRAPSVlanTable=eltErpsMgmtRAPSVlanTable, eltMesErpsMIB=eltMesErpsMIB, eltErpsAdminState=eltErpsAdminState, eltErpsTrapState=eltErpsTrapState, eltErpsMgmtRAPSRPLPort=eltErpsMgmtRAPSRPLPort, eltMesErpsNotifyPrefix=eltMesErpsNotifyPrefix, eltErpsMgmtRAPSProtectionVlanRangeList3073to4094=eltErpsMgmtRAPSProtectionVlanRangeList3073to4094, eltErpsMgmtRAPSRPLOwnerAdminState=eltErpsMgmtRAPSRPLOwnerAdminState, eltErpsMgmtRAPSVlanId=eltErpsMgmtRAPSVlanId, eltErpsMgmtRAPSProtocolVersion=eltErpsMgmtRAPSProtocolVersion, eltMesErpsInfo=eltMesErpsInfo, eltErpsMgmtRAPSWTRTime=eltErpsMgmtRAPSWTRTime, eltErpsMgmtSubRingCtrlEntry=eltErpsMgmtSubRingCtrlEntry, eltMesErpsCtrl=eltMesErpsCtrl, eltErpsMgmtSubRingCtrlTable=eltErpsMgmtSubRingCtrlTable, eltErpsSFClearedTrap=eltErpsSFClearedTrap, eltErpsMgmtSubRingCtrlSubRingRAPSVlanId=eltErpsMgmtSubRingCtrlSubRingRAPSVlanId, eltErpsMgmtRAPSProtectionVlanRangeList1to1024=eltErpsMgmtRAPSProtectionVlanRangeList1to1024, eltErpsMgmtRAPSProtectionVlanRangeList1025to2048=eltErpsMgmtRAPSProtectionVlanRangeList1025to2048, eltErpsMgmtSubRingCtrlTCPropagationState=eltErpsMgmtSubRingCtrlTCPropagationState, eltErpsRPLOwnerConflictTrap=eltErpsRPLOwnerConflictTrap, eltErpsPendingAction=eltErpsPendingAction, eltErpsMgmtRAPSRingState=eltErpsMgmtRAPSRingState, eltErpsMgmtRAPSRevertive=eltErpsMgmtRAPSRevertive, eltErpsPendingActionVlan=eltErpsPendingActionVlan, eltErpsMgmtRAPSHoldOffTime=eltErpsMgmtRAPSHoldOffTime, eltErpsMgmtRAPSGuardTime=eltErpsMgmtRAPSGuardTime, PYSNMP_MODULE_ID=eltMesErpsMIB, eltErpsMgmtRAPSProtectionVlanRangeList2049to3072=eltErpsMgmtRAPSProtectionVlanRangeList2049to3072, eltErpsGetConfigId=eltErpsGetConfigId, eltErpsMgmtRAPSWestPort=eltErpsMgmtRAPSWestPort, eltErpsLogState=eltErpsLogState, eltMesErpsNotify=eltMesErpsNotify, eltErpsMgmtRAPSPortManualSwitch=eltErpsMgmtRAPSPortManualSwitch, eltErpsMgmtRAPSRingMEL=eltErpsMgmtRAPSRingMEL)
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(integer, octet_string, object_identifier) = mibBuilder.importSymbols('ASN1', 'Integer', 'OctetString', 'ObjectIdentifier')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_union, value_range_constraint, single_value_constraint, value_size_constraint, constraints_intersection) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsUnion', 'ValueRangeConstraint', 'SingleValueConstraint', 'ValueSizeConstraint', 'ConstraintsIntersection')
(elt_mes_bridge_ext_mib_objects,) = mibBuilder.importSymbols('ELTEX-MES-BRIDGE-EXT-MIB', 'eltMesBridgeExtMIBObjects')
(vlan_id_or_none,) = mibBuilder.importSymbols('Q-BRIDGE-MIB', 'VlanIdOrNone')
(notification_group, module_compliance) = mibBuilder.importSymbols('SNMPv2-CONF', 'NotificationGroup', 'ModuleCompliance')
(iso, notification_type, integer32, counter64, mib_identifier, time_ticks, counter32, unsigned32, mib_scalar, mib_table, mib_table_row, mib_table_column, object_identity, module_identity, gauge32, bits, ip_address) = mibBuilder.importSymbols('SNMPv2-SMI', 'iso', 'NotificationType', 'Integer32', 'Counter64', 'MibIdentifier', 'TimeTicks', 'Counter32', 'Unsigned32', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'ObjectIdentity', 'ModuleIdentity', 'Gauge32', 'Bits', 'IpAddress')
(truth_value, row_status, mac_address, textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TruthValue', 'RowStatus', 'MacAddress', 'TextualConvention', 'DisplayString')
elt_mes_erps_mib = module_identity((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1))
eltMesErpsMIB.setRevisions(('2015-11-19 00:00',))
if mibBuilder.loadTexts:
eltMesErpsMIB.setLastUpdated('201511190000Z')
if mibBuilder.loadTexts:
eltMesErpsMIB.setOrganization('Eltex Ltd.')
elt_mes_erps_ctrl = mib_identifier((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1))
elt_mes_erps_info = mib_identifier((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 2))
elt_mes_erps_mgmt = mib_identifier((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3))
elt_mes_erps_notify = mib_identifier((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4))
class Elterpsenabledstate(TextualConvention, Integer32):
reference = 'ITU-T G.8032'
status = 'deprecated'
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2))
named_values = named_values(('enabled', 1), ('disabled', 2))
class Elterpsmgmtrapsportstate(TextualConvention, Integer32):
reference = 'ITU-T G.8032'
status = 'deprecated'
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2, 3, 4, 5))
named_values = named_values(('fowarding', 1), ('blocking', 2), ('signal-fail', 3), ('manual-switch', 4), ('forced-switch', 5))
class Elterpsmgmtrapsportid(TextualConvention, Integer32):
reference = 'ITU-T G.8032'
status = 'deprecated'
subtype_spec = Integer32.subtypeSpec + constraints_union(single_value_constraint(1, 2, 3))
named_values = named_values(('none', 1), ('west', 2), ('east', 3))
elt_erps_admin_state = mib_scalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1, 1), elt_erps_enabled_state().clone('disabled')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsAdminState.setStatus('deprecated')
elt_erps_log_state = mib_scalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1, 2), elt_erps_enabled_state().clone('enabled')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsLogState.setStatus('deprecated')
elt_erps_trap_state = mib_scalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1, 3), elt_erps_enabled_state().clone('enabled')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsTrapState.setStatus('deprecated')
elt_erps_pending_action = mib_scalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1, 5), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('copyPendingActive', 1), ('copyActivePending', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsPendingAction.setStatus('deprecated')
elt_erps_pending_action_vlan = mib_scalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1, 6), integer32()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsPendingActionVlan.setStatus('deprecated')
elt_erps_get_config_id = mib_scalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('active', 1), ('pending', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsGetConfigId.setStatus('deprecated')
elt_erps_mgmt_raps_vlan_table = mib_table((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1))
if mibBuilder.loadTexts:
eltErpsMgmtRAPSVlanTable.setStatus('deprecated')
elt_erps_mgmt_raps_vlan_entry = mib_table_row((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1)).setIndexNames((0, 'ELTEX-MES-BRIDGE-ERPS-MIB', 'eltErpsMgmtRAPSVlanId'))
if mibBuilder.loadTexts:
eltErpsMgmtRAPSVlanEntry.setStatus('deprecated')
elt_erps_mgmt_raps_vlan_id = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 1), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSVlanId.setStatus('deprecated')
elt_erps_mgmt_raps_west_port = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 2), integer32().subtype(subtypeSpec=constraints_union(value_range_constraint(0, 0), value_range_constraint(1, 65535)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSWestPort.setStatus('deprecated')
elt_erps_mgmt_raps_west_port_state = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 3), elt_erps_mgmt_raps_port_state()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSWestPortState.setStatus('deprecated')
elt_erps_mgmt_raps_east_port = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 4), integer32().subtype(subtypeSpec=constraints_union(value_range_constraint(0, 0), value_range_constraint(1, 65535)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSEastPort.setStatus('deprecated')
elt_erps_mgmt_raps_east_port_state = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 5), elt_erps_mgmt_raps_port_state()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSEastPortState.setStatus('deprecated')
elt_erps_mgmt_rapsrpl_port = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 6), elt_erps_mgmt_raps_port_id().clone('none')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSRPLPort.setStatus('deprecated')
elt_erps_mgmt_rapsrpl_owner_admin_state = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 7), elt_erps_enabled_state().clone('disabled')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSRPLOwnerAdminState.setStatus('deprecated')
elt_erps_mgmt_raps_ring_mel = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 8), integer32().subtype(subtypeSpec=value_range_constraint(0, 7)).clone(1)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSRingMEL.setStatus('deprecated')
elt_erps_mgmt_raps_hold_off_time = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 9), integer32().subtype(subtypeSpec=value_range_constraint(0, 10000))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSHoldOffTime.setStatus('deprecated')
elt_erps_mgmt_raps_guard_time = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 10), integer32().subtype(subtypeSpec=value_range_constraint(10, 2000)).clone(500)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSGuardTime.setStatus('deprecated')
elt_erps_mgmt_rapswtr_time = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 11), integer32().subtype(subtypeSpec=value_range_constraint(1, 12)).clone(5)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSWTRTime.setStatus('deprecated')
elt_erps_mgmt_raps_ring_state = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 12), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4, 5, 6))).clone(namedValues=named_values(('init', 1), ('idle', 2), ('protection', 3), ('manual-switch', 4), ('forced-switch', 5), ('pending', 6)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSRingState.setStatus('deprecated')
elt_erps_mgmt_raps_ring_admin_state = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 13), elt_erps_enabled_state().clone('disabled')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSRingAdminState.setStatus('deprecated')
elt_erps_mgmt_rapsrpl_owner_oper_status = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 14), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('active', 1), ('inactive', 2), ('disabled', 3)))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSRPLOwnerOperStatus.setStatus('deprecated')
elt_erps_mgmt_raps_protection_vlan_range_list1to1024 = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 15), octet_string().subtype(subtypeSpec=value_size_constraint(0, 128))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSProtectionVlanRangeList1to1024.setStatus('deprecated')
elt_erps_mgmt_raps_protection_vlan_range_list1025to2048 = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 16), octet_string().subtype(subtypeSpec=value_size_constraint(0, 128))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSProtectionVlanRangeList1025to2048.setStatus('deprecated')
elt_erps_mgmt_raps_protection_vlan_range_list2049to3072 = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 17), octet_string().subtype(subtypeSpec=value_size_constraint(0, 128))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSProtectionVlanRangeList2049to3072.setStatus('deprecated')
elt_erps_mgmt_raps_protection_vlan_range_list3073to4094 = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 18), octet_string().subtype(subtypeSpec=value_size_constraint(0, 128))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSProtectionVlanRangeList3073to4094.setStatus('deprecated')
elt_erps_mgmt_raps_revertive = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 19), truth_value().clone('true')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSRevertive.setStatus('deprecated')
elt_erps_mgmt_raps_protocol_version = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 20), integer32().subtype(subtypeSpec=constraints_union(value_range_constraint(1, 1), value_range_constraint(2, 2))).clone(2)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSProtocolVersion.setStatus('deprecated')
elt_erps_mgmt_raps_port_forced_switch = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 21), elt_erps_mgmt_raps_port_id().clone('none')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSPortForcedSwitch.setStatus('deprecated')
elt_erps_mgmt_raps_port_manual_switch = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 22), elt_erps_mgmt_raps_port_id().clone('none')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSPortManualSwitch.setStatus('deprecated')
elt_erps_mgmt_raps_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 1, 1, 23), row_status()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
eltErpsMgmtRAPSRowStatus.setStatus('deprecated')
elt_erps_mgmt_sub_ring_ctrl_table = mib_table((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 2))
if mibBuilder.loadTexts:
eltErpsMgmtSubRingCtrlTable.setStatus('deprecated')
elt_erps_mgmt_sub_ring_ctrl_entry = mib_table_row((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 2, 1)).setIndexNames((0, 'ELTEX-MES-BRIDGE-ERPS-MIB', 'eltErpsMgmtSubRingCtrlRAPSVlanId'), (0, 'ELTEX-MES-BRIDGE-ERPS-MIB', 'eltErpsMgmtSubRingCtrlSubRingRAPSVlanId'))
if mibBuilder.loadTexts:
eltErpsMgmtSubRingCtrlEntry.setStatus('deprecated')
elt_erps_mgmt_sub_ring_ctrl_raps_vlan_id = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 2, 1, 1), integer32())
if mibBuilder.loadTexts:
eltErpsMgmtSubRingCtrlRAPSVlanId.setStatus('deprecated')
elt_erps_mgmt_sub_ring_ctrl_sub_ring_raps_vlan_id = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 2, 1, 2), integer32())
if mibBuilder.loadTexts:
eltErpsMgmtSubRingCtrlSubRingRAPSVlanId.setStatus('deprecated')
elt_erps_mgmt_sub_ring_ctrl_tc_propagation_state = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 2, 1, 3), elt_erps_enabled_state().clone('disabled')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
eltErpsMgmtSubRingCtrlTCPropagationState.setStatus('deprecated')
elt_erps_mgmt_sub_ring_ctrl_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 3, 2, 1, 4), row_status()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
eltErpsMgmtSubRingCtrlRowStatus.setStatus('deprecated')
elt_mes_erps_notify_prefix = mib_identifier((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4, 0))
elt_erps_sf_detected_trap = notification_type((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4, 0, 1)).setObjects(('ELTEX-MES-BRIDGE-ERPS-MIB', 'eltErpsNodeId'))
if mibBuilder.loadTexts:
eltErpsSFDetectedTrap.setStatus('deprecated')
elt_erps_sf_cleared_trap = notification_type((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4, 0, 2)).setObjects(('ELTEX-MES-BRIDGE-ERPS-MIB', 'eltErpsNodeId'))
if mibBuilder.loadTexts:
eltErpsSFClearedTrap.setStatus('deprecated')
elt_erps_rpl_owner_conflict_trap = notification_type((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4, 0, 3)).setObjects(('ELTEX-MES-BRIDGE-ERPS-MIB', 'eltErpsNodeId'))
if mibBuilder.loadTexts:
eltErpsRPLOwnerConflictTrap.setStatus('deprecated')
elt_mes_erps_notification_bindings = mib_identifier((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4, 2))
elt_erps_node_id = mib_scalar((1, 3, 6, 1, 4, 1, 35265, 1, 23, 1, 401, 0, 1, 4, 2, 1), mac_address()).setMaxAccess('accessiblefornotify')
if mibBuilder.loadTexts:
eltErpsNodeId.setStatus('deprecated')
mibBuilder.exportSymbols('ELTEX-MES-BRIDGE-ERPS-MIB', EltErpsMgmtRAPSPortState=EltErpsMgmtRAPSPortState, eltErpsMgmtSubRingCtrlRAPSVlanId=eltErpsMgmtSubRingCtrlRAPSVlanId, EltErpsEnabledState=EltErpsEnabledState, eltErpsMgmtRAPSEastPort=eltErpsMgmtRAPSEastPort, eltErpsMgmtRAPSPortForcedSwitch=eltErpsMgmtRAPSPortForcedSwitch, eltErpsMgmtRAPSRingAdminState=eltErpsMgmtRAPSRingAdminState, eltErpsSFDetectedTrap=eltErpsSFDetectedTrap, eltErpsMgmtRAPSRowStatus=eltErpsMgmtRAPSRowStatus, EltErpsMgmtRAPSPortId=EltErpsMgmtRAPSPortId, eltErpsMgmtRAPSVlanEntry=eltErpsMgmtRAPSVlanEntry, eltErpsMgmtSubRingCtrlRowStatus=eltErpsMgmtSubRingCtrlRowStatus, eltMesErpsMgmt=eltMesErpsMgmt, eltErpsMgmtRAPSRPLOwnerOperStatus=eltErpsMgmtRAPSRPLOwnerOperStatus, eltErpsMgmtRAPSEastPortState=eltErpsMgmtRAPSEastPortState, eltErpsMgmtRAPSWestPortState=eltErpsMgmtRAPSWestPortState, eltMesErpsNotificationBindings=eltMesErpsNotificationBindings, eltErpsNodeId=eltErpsNodeId, eltErpsMgmtRAPSVlanTable=eltErpsMgmtRAPSVlanTable, eltMesErpsMIB=eltMesErpsMIB, eltErpsAdminState=eltErpsAdminState, eltErpsTrapState=eltErpsTrapState, eltErpsMgmtRAPSRPLPort=eltErpsMgmtRAPSRPLPort, eltMesErpsNotifyPrefix=eltMesErpsNotifyPrefix, eltErpsMgmtRAPSProtectionVlanRangeList3073to4094=eltErpsMgmtRAPSProtectionVlanRangeList3073to4094, eltErpsMgmtRAPSRPLOwnerAdminState=eltErpsMgmtRAPSRPLOwnerAdminState, eltErpsMgmtRAPSVlanId=eltErpsMgmtRAPSVlanId, eltErpsMgmtRAPSProtocolVersion=eltErpsMgmtRAPSProtocolVersion, eltMesErpsInfo=eltMesErpsInfo, eltErpsMgmtRAPSWTRTime=eltErpsMgmtRAPSWTRTime, eltErpsMgmtSubRingCtrlEntry=eltErpsMgmtSubRingCtrlEntry, eltMesErpsCtrl=eltMesErpsCtrl, eltErpsMgmtSubRingCtrlTable=eltErpsMgmtSubRingCtrlTable, eltErpsSFClearedTrap=eltErpsSFClearedTrap, eltErpsMgmtSubRingCtrlSubRingRAPSVlanId=eltErpsMgmtSubRingCtrlSubRingRAPSVlanId, eltErpsMgmtRAPSProtectionVlanRangeList1to1024=eltErpsMgmtRAPSProtectionVlanRangeList1to1024, eltErpsMgmtRAPSProtectionVlanRangeList1025to2048=eltErpsMgmtRAPSProtectionVlanRangeList1025to2048, eltErpsMgmtSubRingCtrlTCPropagationState=eltErpsMgmtSubRingCtrlTCPropagationState, eltErpsRPLOwnerConflictTrap=eltErpsRPLOwnerConflictTrap, eltErpsPendingAction=eltErpsPendingAction, eltErpsMgmtRAPSRingState=eltErpsMgmtRAPSRingState, eltErpsMgmtRAPSRevertive=eltErpsMgmtRAPSRevertive, eltErpsPendingActionVlan=eltErpsPendingActionVlan, eltErpsMgmtRAPSHoldOffTime=eltErpsMgmtRAPSHoldOffTime, eltErpsMgmtRAPSGuardTime=eltErpsMgmtRAPSGuardTime, PYSNMP_MODULE_ID=eltMesErpsMIB, eltErpsMgmtRAPSProtectionVlanRangeList2049to3072=eltErpsMgmtRAPSProtectionVlanRangeList2049to3072, eltErpsGetConfigId=eltErpsGetConfigId, eltErpsMgmtRAPSWestPort=eltErpsMgmtRAPSWestPort, eltErpsLogState=eltErpsLogState, eltMesErpsNotify=eltMesErpsNotify, eltErpsMgmtRAPSPortManualSwitch=eltErpsMgmtRAPSPortManualSwitch, eltErpsMgmtRAPSRingMEL=eltErpsMgmtRAPSRingMEL)
|
# config.py - Vite's configuration script
title = "icyphox"
author = ""
header = """<a href="/"><- back</a>"""
# actually the sidebar
footer = f"""
<img class="logo" src="/static/white.svg" alt="icyphox's avatar" style="width: 55%"/>
<p>
<span class="sidebar-link">email</span>
<br>
<a href="mailto:x@icyphox.sh">x@icyphox.sh</a>
</p>
<p>
<span class="sidebar-link">github</span>
<br>
<a href="https://github.com/icyphox">icyphox</a>
</p>
<p>
<span class="sidebar-link">mastodon</span>
<br>
<a rel="me" href="https://toot.icyphox.sh/@x">@x@icyphox.sh</a>
</p>
<p>
<span class="sidebar-link">pgp</span>
<br>
<a href="/static/gpg.txt">0x8A93F96F78C5D4C4</a>
</p>
<h3>friends</h3>
<p>
Some of <a href="/friends">my friends</a> and internet bros.
</p>
<h3>about</h3>
<p>
More <a href="/about">about me</a> and my work.
</p>
<div class="icons">
<a href="https://creativecommons.org/licensjes/by-nc-sa/4.0/">
<img class="footimgs" src="/static/cc.svg">
</a>
<a href="https://webring.xxiivv.com/#random" target="_blank">
<img class="footimgs" alt="xxiivv webring" src="/static/webring.svg">
</a>
</div>
"""
template = 'text.html' # default is index.html
pre_build = [['bin/openring.py', '-j'], 'bin/update_index.py']
post_build = ['bin/rss.py', 'bin/plaintext.sh']
|
title = 'icyphox'
author = ''
header = '<a href="/"><- back</a>'
footer = f"""\n <img class="logo" src="/static/white.svg" alt="icyphox's avatar" style="width: 55%"/>\n <p>\n <span class="sidebar-link">email</span>\n <br>\n <a href="mailto:x@icyphox.sh">x@icyphox.sh</a>\n </p> \n\n <p>\n <span class="sidebar-link">github</span>\n <br>\n <a href="https://github.com/icyphox">icyphox</a>\n </p> \n\n <p>\n <span class="sidebar-link">mastodon</span>\n <br>\n <a rel="me" href="https://toot.icyphox.sh/@x">@x@icyphox.sh</a>\n </p> \n\n <p>\n <span class="sidebar-link">pgp</span>\n <br>\n <a href="/static/gpg.txt">0x8A93F96F78C5D4C4</a>\n </p> \n\n <h3>friends</h3>\n <p>\n Some of <a href="/friends">my friends</a> and internet bros.\n </p>\n\n <h3>about</h3>\n <p>\n More <a href="/about">about me</a> and my work.\n </p>\n\n <div class="icons">\n <a href="https://creativecommons.org/licensjes/by-nc-sa/4.0/">\n <img class="footimgs" src="/static/cc.svg">\n </a>\n <a href="https://webring.xxiivv.com/#random" target="_blank">\n <img class="footimgs" alt="xxiivv webring" src="/static/webring.svg">\n </a>\n </div>\n\n """
template = 'text.html'
pre_build = [['bin/openring.py', '-j'], 'bin/update_index.py']
post_build = ['bin/rss.py', 'bin/plaintext.sh']
|
DATASETS = {
"imdb": {
"train": "s3://suching-dev/final-datasets/imdb/train.jsonl",
"dev": "s3://suching-dev/final-datasets/imdb/dev.jsonl",
"test": "s3://suching-dev/final-datasets/imdb/test.jsonl",
"unlabeled": "s3://suching-dev/final-datasets/imdb/unlabeled.jsonl",
"reference_counts": "s3://suching-dev/final-datasets/imdb/valid_npmi_reference/train.npz",
"reference_vocabulary": "s3://suching-dev/final-datasets/imdb/valid_npmi_reference/train.vocab.json",
"stopword_path": "s3://suching-dev/stopwords/snowball_stopwords.txt",
"glove": "s3://suching-dev/pretrained-models/glove/imdb/vectors.txt",
"elmo": {
"frozen": "s3://allennlp/models/transformer-elmo-2019.01.10.tar.gz",
"fine-tuned": "s3://suching-dev/pretrained-models/elmo/imdb/model.tar.gz",
"in-domain": "s3://suching-dev/pretrained-models/in-domain-elmo/imdb/model.tar.gz"
},
"bert": {
"weights": "s3://suching-dev/pretrained-models/bert/imdb/model.tar.gz",
"vocab": "s3://suching-dev/pretrained-models/bert/imdb/vocab.txt"
},
"vae": {
"model_archive": "s3://suching-dev/pretrained-models/vae_best_npmi/imdb/model.tar.gz",
"vocab": "s3://suching-dev/pretrained-models/vae_best_npmi/imdb/vae.txt",
"bg_freq": "s3://suching-dev/pretrained-models/vae_best_npmi/imdb/vae.bgfreq.json"
}
},
"1b": {
"train": "s3://suching-dev/final-datasets/1b/train.jsonl",
"test": "s3://suching-dev/final-datasets/1b/test.jsonl",
"reference_counts": "s3://suching-dev/final-datasets/1b/test_npmi_reference/train.npz",
"reference_vocabulary": "s3://suching-dev/final-datasets/1b/test_npmi_reference/train.vocab.json",
"stopword_path": "s3://suching-dev/stopwords/snowball_stopwords.txt",
"glove": "s3://suching-dev/pretrained-models/glove/1b/vectors.txt",
"elmo": {
"frozen": "s3://allennlp/models/transformer-elmo-2019.01.10.tar.gz",
"fine-tuned": "s3://suching-dev/pretrained-models/elmo/1b/model.tar.gz",
"in-domain": "s3://suching-dev/pretrained-models/in-domain-elmo/1b/model.tar.gz"
},
"bert": {
"weights": "s3://suching-dev/pretrained-models/bert/1b/model.tar.gz",
"vocab": "s3://suching-dev/pretrained-models/bert/1b/vocab.txt"
},
"vae": {
"model_archive": "s3://suching-dev/pretrained-models/vae_best_npmi/1b/model.tar.gz",
"vocab": "s3://suching-dev/pretrained-models/vae_best_npmi/1b/vae.txt",
"bg_freq": "s3://suching-dev/pretrained-models/vae_best_npmi/1b/vae.bgfreq.json"
}
},
"amazon": {
"train": "s3://suching-dev/final-datasets/amazon/train.jsonl",
"dev": "s3://suching-dev/final-datasets/amazon/dev.jsonl",
"test": "s3://suching-dev/final-datasets/amazon/test.jsonl",
"unlabeled": "s3://suching-dev/final-datasets/amazon/unlabeled.jsonl",
"reference_counts": "s3://suching-dev/final-datasets/amazon/valid_npmi_reference/train.npz",
"reference_vocabulary": "s3://suching-dev/final-datasets/amazon/valid_npmi_reference/train.vocab.json",
"stopword_path": "s3://suching-dev/stopwords/snowball_stopwords.txt",
"glove": "s3://suching-dev/pretrained-models/glove/amazon/vectors.txt",
"elmo": {
"frozen": "s3://allennlp/models/transformer-elmo-2019.01.10.tar.gz",
"fine-tuned": "s3://suching-dev/pretrained-models/elmo/amazon/model.tar.gz",
"in-domain": "s3://suching-dev/pretrained-models/in-domain-elmo/amazon/model.tar.gz"
},
"bert": {
"weights": "s3://suching-dev/pretrained-models/bert/amazon/model.tar.gz",
"vocab": "s3://suching-dev/pretrained-models/bert/amazon/vocab.txt"
},
"vae": {
"model_archive": "s3://suching-dev/pretrained-models/vae_best_npmi/amazon/model.tar.gz",
"vocab": "s3://suching-dev/pretrained-models/vae_best_npmi/amazon/vae.txt",
"bg_freq": "s3://suching-dev/pretrained-models/vae_best_npmi/amazon/vae.bgfreq.json"
}
},
"yahoo": {
"train": "s3://suching-dev/final-datasets/yahoo/train.jsonl",
"dev": "s3://suching-dev/final-datasets/yahoo/dev.jsonl",
"test": "s3://suching-dev/final-datasets/yahoo/test.jsonl",
"unlabeled": "s3://suching-dev/final-datasets/yahoo/unlabeled.jsonl",
"reference_counts": "s3://suching-dev/final-datasets/yahoo/valid_npmi_reference/train.npz",
"reference_vocabulary": "s3://suching-dev/final-datasets/yahoo/valid_npmi_reference/train.vocab.json",
"stopword_path": "s3://suching-dev/stopwords/snowball_stopwords.txt",
"glove": "s3://suching-dev/pretrained-models/glove/yahoo/vectors.txt",
"elmo": {
"frozen": "s3://allennlp/models/transformer-elmo-2019.01.10.tar.gz",
"fine-tuned": "s3://suching-dev/pretrained-models/elmo/yahoo/model.tar.gz",
"in-domain": "s3://suching-dev/pretrained-models/in-domain-elmo/yahoo/model.tar.gz"
},
"bert": {
"weights": "s3://suching-dev/pretrained-models/bert/yahoo/model.tar.gz",
"vocab": "s3://suching-dev/pretrained-models/bert/yahoo/vocab.txt"
},
"vae": {
"model_archive": "s3://suching-dev/pretrained-models/vae_best_npmi/yahoo/model.tar.gz",
"vocab": "s3://suching-dev/pretrained-models/vae_best_npmi/yahoo/vae.txt",
"bg_freq": "s3://suching-dev/pretrained-models/vae_best_npmi/yahoo/vae.bgfreq.json"
}
},
"hatespeech": {
"train": "s3://suching-dev/final-datasets/hatespeech/train.jsonl",
"dev": "s3://suching-dev/final-datasets/hatespeech/dev.jsonl",
"test": "s3://suching-dev/final-datasets/hatespeech/test.jsonl",
"unlabeled": "s3://suching-dev/final-datasets/hatespeech/unlabeled.jsonl",
"reference_counts": "s3://suching-dev/final-datasets/hatespeech/valid_npmi_reference/train.npz",
"reference_vocabulary": "s3://suching-dev/final-datasets/hatespeech/valid_npmi_reference/train.vocab.json",
"stopword_path": "s3://suching-dev/stopwords/snowball_stopwords.txt",
"glove": "s3://suching-dev/pretrained-models/glove/hatespeech/vectors.txt",
"elmo": {
"frozen": "s3://allennlp/models/transformer-elmo-2019.01.10.tar.gz",
"fine-tuned": "s3://suching-dev/pretrained-models/elmo/hatespeech/model.tar.gz",
"in-domain": "s3://suching-dev/pretrained-models/in-domain-elmo/hatespeech/model.tar.gz"
},
"bert": {
"weights": "s3://suching-dev/pretrained-models/bert/hatespeech/model.tar.gz",
"vocab": "s3://suching-dev/pretrained-models/bert/hatespeech/vocab.txt"
},
"vae": {
"model_archive": "s3://suching-dev/pretrained-models/vae_best_npmi/hatespeech/model.tar.gz",
"vocab": "s3://suching-dev/pretrained-models/vae_best_npmi/hatespeech/vae.txt",
"bg_freq": "s3://suching-dev/pretrained-models/vae_best_npmi/hatespeech/vae.bgfreq.json"
}
},
"ag-news": {
"train": "s3://suching-dev/final-datasets/ag-news/train.jsonl",
"dev": "s3://suching-dev/final-datasets/ag-news/dev.jsonl",
"test": "s3://suching-dev/final-datasets/ag-news/test.jsonl",
"unlabeled": "s3://suching-dev/final-datasets/ag-news/unlabeled.jsonl",
"reference_counts": "s3://suching-dev/final-datasets/ag-news/valid_npmi_reference/train.npz",
"reference_vocabulary": "s3://suching-dev/final-datasets/ag-news/valid_npmi_reference/train.vocab.json",
"stopword_path": "s3://suching-dev/stopwords/snowball_stopwords.txt",
"glove": "s3://suching-dev/pretrained-models/glove/ag-news/vectors.txt",
"elmo": {
"frozen": "s3://allennlp/models/transformer-elmo-2019.01.10.tar.gz",
"fine-tuned": "s3://suching-dev/pretrained-models/elmo/ag-news/model.tar.gz",
"in-domain": "s3://suching-dev/pretrained-models/in-domain-elmo/ag-news/model.tar.gz"
},
"bert": {
"weights": "s3://suching-dev/pretrained-models/bert/ag-news/model.tar.gz",
"vocab": "s3://suching-dev/pretrained-models/bert/ag-news/vocab.txt"
},
"vae": {
"model_archive": "s3://suching-dev/pretrained-models/vae_best_npmi/ag-news/model.tar.gz",
"vocab": "s3://suching-dev/pretrained-models/vae_best_npmi/ag-news/vae.txt",
"bg_freq": "s3://suching-dev/pretrained-models/vae_best_npmi/ag-news/vae.bgfreq.json"
}
}
}
|
datasets = {'imdb': {'train': 's3://suching-dev/final-datasets/imdb/train.jsonl', 'dev': 's3://suching-dev/final-datasets/imdb/dev.jsonl', 'test': 's3://suching-dev/final-datasets/imdb/test.jsonl', 'unlabeled': 's3://suching-dev/final-datasets/imdb/unlabeled.jsonl', 'reference_counts': 's3://suching-dev/final-datasets/imdb/valid_npmi_reference/train.npz', 'reference_vocabulary': 's3://suching-dev/final-datasets/imdb/valid_npmi_reference/train.vocab.json', 'stopword_path': 's3://suching-dev/stopwords/snowball_stopwords.txt', 'glove': 's3://suching-dev/pretrained-models/glove/imdb/vectors.txt', 'elmo': {'frozen': 's3://allennlp/models/transformer-elmo-2019.01.10.tar.gz', 'fine-tuned': 's3://suching-dev/pretrained-models/elmo/imdb/model.tar.gz', 'in-domain': 's3://suching-dev/pretrained-models/in-domain-elmo/imdb/model.tar.gz'}, 'bert': {'weights': 's3://suching-dev/pretrained-models/bert/imdb/model.tar.gz', 'vocab': 's3://suching-dev/pretrained-models/bert/imdb/vocab.txt'}, 'vae': {'model_archive': 's3://suching-dev/pretrained-models/vae_best_npmi/imdb/model.tar.gz', 'vocab': 's3://suching-dev/pretrained-models/vae_best_npmi/imdb/vae.txt', 'bg_freq': 's3://suching-dev/pretrained-models/vae_best_npmi/imdb/vae.bgfreq.json'}}, '1b': {'train': 's3://suching-dev/final-datasets/1b/train.jsonl', 'test': 's3://suching-dev/final-datasets/1b/test.jsonl', 'reference_counts': 's3://suching-dev/final-datasets/1b/test_npmi_reference/train.npz', 'reference_vocabulary': 's3://suching-dev/final-datasets/1b/test_npmi_reference/train.vocab.json', 'stopword_path': 's3://suching-dev/stopwords/snowball_stopwords.txt', 'glove': 's3://suching-dev/pretrained-models/glove/1b/vectors.txt', 'elmo': {'frozen': 's3://allennlp/models/transformer-elmo-2019.01.10.tar.gz', 'fine-tuned': 's3://suching-dev/pretrained-models/elmo/1b/model.tar.gz', 'in-domain': 's3://suching-dev/pretrained-models/in-domain-elmo/1b/model.tar.gz'}, 'bert': {'weights': 's3://suching-dev/pretrained-models/bert/1b/model.tar.gz', 'vocab': 's3://suching-dev/pretrained-models/bert/1b/vocab.txt'}, 'vae': {'model_archive': 's3://suching-dev/pretrained-models/vae_best_npmi/1b/model.tar.gz', 'vocab': 's3://suching-dev/pretrained-models/vae_best_npmi/1b/vae.txt', 'bg_freq': 's3://suching-dev/pretrained-models/vae_best_npmi/1b/vae.bgfreq.json'}}, 'amazon': {'train': 's3://suching-dev/final-datasets/amazon/train.jsonl', 'dev': 's3://suching-dev/final-datasets/amazon/dev.jsonl', 'test': 's3://suching-dev/final-datasets/amazon/test.jsonl', 'unlabeled': 's3://suching-dev/final-datasets/amazon/unlabeled.jsonl', 'reference_counts': 's3://suching-dev/final-datasets/amazon/valid_npmi_reference/train.npz', 'reference_vocabulary': 's3://suching-dev/final-datasets/amazon/valid_npmi_reference/train.vocab.json', 'stopword_path': 's3://suching-dev/stopwords/snowball_stopwords.txt', 'glove': 's3://suching-dev/pretrained-models/glove/amazon/vectors.txt', 'elmo': {'frozen': 's3://allennlp/models/transformer-elmo-2019.01.10.tar.gz', 'fine-tuned': 's3://suching-dev/pretrained-models/elmo/amazon/model.tar.gz', 'in-domain': 's3://suching-dev/pretrained-models/in-domain-elmo/amazon/model.tar.gz'}, 'bert': {'weights': 's3://suching-dev/pretrained-models/bert/amazon/model.tar.gz', 'vocab': 's3://suching-dev/pretrained-models/bert/amazon/vocab.txt'}, 'vae': {'model_archive': 's3://suching-dev/pretrained-models/vae_best_npmi/amazon/model.tar.gz', 'vocab': 's3://suching-dev/pretrained-models/vae_best_npmi/amazon/vae.txt', 'bg_freq': 's3://suching-dev/pretrained-models/vae_best_npmi/amazon/vae.bgfreq.json'}}, 'yahoo': {'train': 's3://suching-dev/final-datasets/yahoo/train.jsonl', 'dev': 's3://suching-dev/final-datasets/yahoo/dev.jsonl', 'test': 's3://suching-dev/final-datasets/yahoo/test.jsonl', 'unlabeled': 's3://suching-dev/final-datasets/yahoo/unlabeled.jsonl', 'reference_counts': 's3://suching-dev/final-datasets/yahoo/valid_npmi_reference/train.npz', 'reference_vocabulary': 's3://suching-dev/final-datasets/yahoo/valid_npmi_reference/train.vocab.json', 'stopword_path': 's3://suching-dev/stopwords/snowball_stopwords.txt', 'glove': 's3://suching-dev/pretrained-models/glove/yahoo/vectors.txt', 'elmo': {'frozen': 's3://allennlp/models/transformer-elmo-2019.01.10.tar.gz', 'fine-tuned': 's3://suching-dev/pretrained-models/elmo/yahoo/model.tar.gz', 'in-domain': 's3://suching-dev/pretrained-models/in-domain-elmo/yahoo/model.tar.gz'}, 'bert': {'weights': 's3://suching-dev/pretrained-models/bert/yahoo/model.tar.gz', 'vocab': 's3://suching-dev/pretrained-models/bert/yahoo/vocab.txt'}, 'vae': {'model_archive': 's3://suching-dev/pretrained-models/vae_best_npmi/yahoo/model.tar.gz', 'vocab': 's3://suching-dev/pretrained-models/vae_best_npmi/yahoo/vae.txt', 'bg_freq': 's3://suching-dev/pretrained-models/vae_best_npmi/yahoo/vae.bgfreq.json'}}, 'hatespeech': {'train': 's3://suching-dev/final-datasets/hatespeech/train.jsonl', 'dev': 's3://suching-dev/final-datasets/hatespeech/dev.jsonl', 'test': 's3://suching-dev/final-datasets/hatespeech/test.jsonl', 'unlabeled': 's3://suching-dev/final-datasets/hatespeech/unlabeled.jsonl', 'reference_counts': 's3://suching-dev/final-datasets/hatespeech/valid_npmi_reference/train.npz', 'reference_vocabulary': 's3://suching-dev/final-datasets/hatespeech/valid_npmi_reference/train.vocab.json', 'stopword_path': 's3://suching-dev/stopwords/snowball_stopwords.txt', 'glove': 's3://suching-dev/pretrained-models/glove/hatespeech/vectors.txt', 'elmo': {'frozen': 's3://allennlp/models/transformer-elmo-2019.01.10.tar.gz', 'fine-tuned': 's3://suching-dev/pretrained-models/elmo/hatespeech/model.tar.gz', 'in-domain': 's3://suching-dev/pretrained-models/in-domain-elmo/hatespeech/model.tar.gz'}, 'bert': {'weights': 's3://suching-dev/pretrained-models/bert/hatespeech/model.tar.gz', 'vocab': 's3://suching-dev/pretrained-models/bert/hatespeech/vocab.txt'}, 'vae': {'model_archive': 's3://suching-dev/pretrained-models/vae_best_npmi/hatespeech/model.tar.gz', 'vocab': 's3://suching-dev/pretrained-models/vae_best_npmi/hatespeech/vae.txt', 'bg_freq': 's3://suching-dev/pretrained-models/vae_best_npmi/hatespeech/vae.bgfreq.json'}}, 'ag-news': {'train': 's3://suching-dev/final-datasets/ag-news/train.jsonl', 'dev': 's3://suching-dev/final-datasets/ag-news/dev.jsonl', 'test': 's3://suching-dev/final-datasets/ag-news/test.jsonl', 'unlabeled': 's3://suching-dev/final-datasets/ag-news/unlabeled.jsonl', 'reference_counts': 's3://suching-dev/final-datasets/ag-news/valid_npmi_reference/train.npz', 'reference_vocabulary': 's3://suching-dev/final-datasets/ag-news/valid_npmi_reference/train.vocab.json', 'stopword_path': 's3://suching-dev/stopwords/snowball_stopwords.txt', 'glove': 's3://suching-dev/pretrained-models/glove/ag-news/vectors.txt', 'elmo': {'frozen': 's3://allennlp/models/transformer-elmo-2019.01.10.tar.gz', 'fine-tuned': 's3://suching-dev/pretrained-models/elmo/ag-news/model.tar.gz', 'in-domain': 's3://suching-dev/pretrained-models/in-domain-elmo/ag-news/model.tar.gz'}, 'bert': {'weights': 's3://suching-dev/pretrained-models/bert/ag-news/model.tar.gz', 'vocab': 's3://suching-dev/pretrained-models/bert/ag-news/vocab.txt'}, 'vae': {'model_archive': 's3://suching-dev/pretrained-models/vae_best_npmi/ag-news/model.tar.gz', 'vocab': 's3://suching-dev/pretrained-models/vae_best_npmi/ag-news/vae.txt', 'bg_freq': 's3://suching-dev/pretrained-models/vae_best_npmi/ag-news/vae.bgfreq.json'}}}
|
class LinkedQueue:
""" FIFO queue implementation using a sigle linked list for storage """
#--------------------------------------------------------------------------------
class _Node:
""" LightWeight, non public class for storing a singly linked node """
__slots__ = '_element', '_next'
def __init__(self, element, next):
self._element = element
self._next = next
#--------------------------------------------------------------------------------
#--------------------------------------------------------------------------------
def __init__(self):
""" Create an empty queue """
self._head = None
self._tail = None
self._size = 0
#--------------------------------------------------------------------------------
def __len__(self):
""" Return the number of element in the queue """
return self._size
#--------------------------------------------------------------------------------
def is_empty(self):
""" Return True if the queue id empty """
return self._size == 0
#--------------------------------------------------------------------------------
def first(self):
""" Return (but not remove) the e,ement at the front of the queue """
if self.is_empty():
raise Empty('Queue is empty ')
return self._head._element
#--------------------------------------------------------------------------------
def dequeue(self):
""" Remove and return the first element of the queueu (FIFO)
raise Empty exception if the queueu is empty
"""
if self.is_empty():
raise Empty('Queue is empty')
answer = self._head._element
self._head = self._head._next
self._size -= 1
if self.is_empty():
self._tail = None
return answer
#--------------------------------------------------------------------------------
def enqueue(self, e):
""" Add element to the back of queue """
newest = self._Node(e, None)
if self.is_empty():
self._head = newest
else:
self._tail._next = newest
self._tail = newest
self._size +=1
#---------------------------------------------------------------------------------------
#---------------------------------------------------------------------------------------
if __name__ == '__main__':
l = LinkedQueue()
s1 = l.__len__()
print('Initial size : ', s1)
l.enqueue(10)
l.enqueue(20)
l.enqueue(30)
l.enqueue(40)
l.enqueue(50)
l.enqueue(60)
s2 = l.__len__()
print('Size : ', s2)
f = l.first()
print('First element : ', f)
d = l.dequeue()
print('Dequeue element : ', d)
s3 = l.__len__()
print('Size : ', s3)
#---------------------------------------------------------------------------------------
#---------------------------------------------------------------------------------------
#---------------------------------------------------------------------------------------
"""
OUTPUT :
Initial size : 0
Size : 6
First element : 10
Dequeue element : 10
Size : 5
"""
#---------------------------------------------------------------------------------------
#---------------------------------------------------------------------------------------
#---------------------------------------------------------------------------------------
|
class Linkedqueue:
""" FIFO queue implementation using a sigle linked list for storage """
class _Node:
""" LightWeight, non public class for storing a singly linked node """
__slots__ = ('_element', '_next')
def __init__(self, element, next):
self._element = element
self._next = next
def __init__(self):
""" Create an empty queue """
self._head = None
self._tail = None
self._size = 0
def __len__(self):
""" Return the number of element in the queue """
return self._size
def is_empty(self):
""" Return True if the queue id empty """
return self._size == 0
def first(self):
""" Return (but not remove) the e,ement at the front of the queue """
if self.is_empty():
raise empty('Queue is empty ')
return self._head._element
def dequeue(self):
""" Remove and return the first element of the queueu (FIFO)
raise Empty exception if the queueu is empty
"""
if self.is_empty():
raise empty('Queue is empty')
answer = self._head._element
self._head = self._head._next
self._size -= 1
if self.is_empty():
self._tail = None
return answer
def enqueue(self, e):
""" Add element to the back of queue """
newest = self._Node(e, None)
if self.is_empty():
self._head = newest
else:
self._tail._next = newest
self._tail = newest
self._size += 1
if __name__ == '__main__':
l = linked_queue()
s1 = l.__len__()
print('Initial size : ', s1)
l.enqueue(10)
l.enqueue(20)
l.enqueue(30)
l.enqueue(40)
l.enqueue(50)
l.enqueue(60)
s2 = l.__len__()
print('Size : ', s2)
f = l.first()
print('First element : ', f)
d = l.dequeue()
print('Dequeue element : ', d)
s3 = l.__len__()
print('Size : ', s3)
'\nOUTPUT :\nInitial size : 0\nSize : 6\nFirst element : 10\nDequeue element : 10\nSize : 5\n\n'
|
'''
this function can handle oracle script with block comment
handle change drop table table to
begin execute immediate \'drop table UTLMGT_DASHBOARD.temp_gen_dm_auth_2\'; exception when others then null; end
'''
def convertToBODSScript ( path):
f0 = open(path,'r')
f1 = []
for line in f0:
if line.strip():
f1.append(line)
f0.close()
isBegin = True
isCommentBegin = False
for line in f1:
if isCommentBegin == False:
if line.strip(' \t\n\r').startswith('/*') and 'parallel' not in line.lower():
isCommentBegin = True
line = '# ' + line
if line.strip(' \t\n\r').endswith('*/') and 'parallel' not in line.lower():
isCommentBegin = False
print (line)
continue
if line.lstrip(' \t\n\r').startswith('--'):
line = '# ' + line
else:
if line.lstrip(' \t\n\r').find('--') > 0: # this handle in line comment
line = line[0 :line.find('--')] + '\n'
line = line.replace("'", "\\'")
if isBegin==True:
line ="sql('NATLDWH_UTLMGT_DASHBOARD','" + line
isBegin =False
else:
line ="|| '" + line
isBegin =False
if line.rstrip(' \t\n\r').endswith(';'):
line =line.replace(';', " ');\n")
isBegin =True
else:
line =line.rstrip(' \t\n\r') + " '\n"
if line.lower().find("'drop table ") >= 0:
line = line[0:line.lower().index("\'drop table ")] + "\'begin execute immediate \\" + line[line.lower().index("\'drop table "):line.index("\');")] + "\\\'; exception when others then null; end;\');"
if line.lower().find("'drop index ") >= 0:
line = line[0:line.lower().index("\'drop index ")] + "\'begin execute immediate \\" + line[line.lower().index("\'drop index "):line.index("\');")] + "\\\'; exception when others then null; end;\');"
print (line)
else:
line = '# ' + line
print(line)
if line.strip(' \t\n\r').endswith('*/') and 'parallel' not in line.lower() :
isCommentBegin = False
#f1.close()
#convertToBODSScript (r'C:\Users\Wenlei\Desktop\sample.sql')
#convertToBODSScript (r'C:\Users\Wenlei\Desktop\sample2.sql')
convertToBODSScript ( r'C:\Users\Wenlei\Desktop\sample15.sql')
|
"""
this function can handle oracle script with block comment
handle change drop table table to
begin execute immediate 'drop table UTLMGT_DASHBOARD.temp_gen_dm_auth_2'; exception when others then null; end
"""
def convert_to_bods_script(path):
f0 = open(path, 'r')
f1 = []
for line in f0:
if line.strip():
f1.append(line)
f0.close()
is_begin = True
is_comment_begin = False
for line in f1:
if isCommentBegin == False:
if line.strip(' \t\n\r').startswith('/*') and 'parallel' not in line.lower():
is_comment_begin = True
line = '# ' + line
if line.strip(' \t\n\r').endswith('*/') and 'parallel' not in line.lower():
is_comment_begin = False
print(line)
continue
if line.lstrip(' \t\n\r').startswith('--'):
line = '# ' + line
else:
if line.lstrip(' \t\n\r').find('--') > 0:
line = line[0:line.find('--')] + '\n'
line = line.replace("'", "\\'")
if isBegin == True:
line = "sql('NATLDWH_UTLMGT_DASHBOARD','" + line
is_begin = False
else:
line = "|| '" + line
is_begin = False
if line.rstrip(' \t\n\r').endswith(';'):
line = line.replace(';', " ');\n")
is_begin = True
else:
line = line.rstrip(' \t\n\r') + " '\n"
if line.lower().find("'drop table ") >= 0:
line = line[0:line.lower().index("'drop table ")] + "'begin execute immediate \\" + line[line.lower().index("'drop table "):line.index("');")] + "\\'; exception when others then null; end;');"
if line.lower().find("'drop index ") >= 0:
line = line[0:line.lower().index("'drop index ")] + "'begin execute immediate \\" + line[line.lower().index("'drop index "):line.index("');")] + "\\'; exception when others then null; end;');"
print(line)
else:
line = '# ' + line
print(line)
if line.strip(' \t\n\r').endswith('*/') and 'parallel' not in line.lower():
is_comment_begin = False
convert_to_bods_script('C:\\Users\\Wenlei\\Desktop\\sample15.sql')
|
size = int(input())
arr=[]
for i in range(size):
string = list(input())
rev_string = list(reversed(string))
msg = "Funny"
for j in range(len(string)):
#print(j)
if not abs(ord(string[j])-ord(string[j-1])) == abs(ord(rev_string[j])-ord(rev_string[j-1])):
msg="Not Funny"
break
print(msg)
|
size = int(input())
arr = []
for i in range(size):
string = list(input())
rev_string = list(reversed(string))
msg = 'Funny'
for j in range(len(string)):
if not abs(ord(string[j]) - ord(string[j - 1])) == abs(ord(rev_string[j]) - ord(rev_string[j - 1])):
msg = 'Not Funny'
break
print(msg)
|
def convert_coordinates(hpos, vpos, width, height, x_res, y_res):
"""
x = (coordinate['xResolution']/254.0) * coordinate['hpos']
y = (coordinate['yResolution']/254.0) * coordinate['vpos']
w = (coordinate['xResolution']/254.0) * coordinate['width']
h = (coordinate['yResolution']/254.0) * coordinate['height']
"""
x = (x_res / 254) * hpos
y = (y_res / 254) * vpos
w = (x_res / 254) * width
h = (y_res / 254) * height
return [int(x), int(y), int(w), int(h)]
def encode_ark(ark):
"""Replaces (encodes) backslashes in the Ark identifier."""
return ark.replace('/', '%2f')
|
def convert_coordinates(hpos, vpos, width, height, x_res, y_res):
"""
x = (coordinate['xResolution']/254.0) * coordinate['hpos']
y = (coordinate['yResolution']/254.0) * coordinate['vpos']
w = (coordinate['xResolution']/254.0) * coordinate['width']
h = (coordinate['yResolution']/254.0) * coordinate['height']
"""
x = x_res / 254 * hpos
y = y_res / 254 * vpos
w = x_res / 254 * width
h = y_res / 254 * height
return [int(x), int(y), int(w), int(h)]
def encode_ark(ark):
"""Replaces (encodes) backslashes in the Ark identifier."""
return ark.replace('/', '%2f')
|
family = 'wiktionary'
mylang = 'en'
usernames['wiktionary']['en'] = u'AryamanA' # change to your username
console_encoding = 'utf-8'
minthrottle = 0
maxthrottle = 1
|
family = 'wiktionary'
mylang = 'en'
usernames['wiktionary']['en'] = u'AryamanA'
console_encoding = 'utf-8'
minthrottle = 0
maxthrottle = 1
|
{
2 : {
"operator" : "selection",
"selectivity" : 0.2
},
4 : {
"operator" : "selection",
"selectivity" : 0.5
},
5 : {
"operator" : "join",
"selectivity" : 0.19,
"multimatch" : False
},
7 : {
"operator" : "selection",
"selectivity" : 0.5
},
8 : {
"operator" : "join",
"selectivity" : 0.05,
"multimatch" : False
}
}
|
{2: {'operator': 'selection', 'selectivity': 0.2}, 4: {'operator': 'selection', 'selectivity': 0.5}, 5: {'operator': 'join', 'selectivity': 0.19, 'multimatch': False}, 7: {'operator': 'selection', 'selectivity': 0.5}, 8: {'operator': 'join', 'selectivity': 0.05, 'multimatch': False}}
|
"""
Follow up for N-Queens problem.
Now, instead outputting board configurations, return the total number of
distinct solutions.
"""
class Solution(object):
def totalNQueens(self, n):
"""
:type n: int
:rtype: int
"""
if n is None or n <= 0:
return []
self.solns = 0
self.dfs(n)
return self.solns
def dfs(self, n, soln=[]):
if self.isValid(soln):
if len(soln) == n:
self.solns += 1
else:
for i in range(n):
self.dfs(n, soln + [i])
return
else:
return
def isValid(self, soln):
if soln == [] or len(soln) == 1:
return True
elif soln[-1] in soln[:-1]:
return False
else:
for i in range(len(soln) - 1):
if abs(soln[-1] - soln[i]) == len(soln) - 1 - i:
return False
return True
|
"""
Follow up for N-Queens problem.
Now, instead outputting board configurations, return the total number of
distinct solutions.
"""
class Solution(object):
def total_n_queens(self, n):
"""
:type n: int
:rtype: int
"""
if n is None or n <= 0:
return []
self.solns = 0
self.dfs(n)
return self.solns
def dfs(self, n, soln=[]):
if self.isValid(soln):
if len(soln) == n:
self.solns += 1
else:
for i in range(n):
self.dfs(n, soln + [i])
return
else:
return
def is_valid(self, soln):
if soln == [] or len(soln) == 1:
return True
elif soln[-1] in soln[:-1]:
return False
else:
for i in range(len(soln) - 1):
if abs(soln[-1] - soln[i]) == len(soln) - 1 - i:
return False
return True
|
"""
Given an Array of non-negative intergers find if we can divide the array into two sub arrays of equal sum
"""
dp = ([[False for i in range(50)]
for i in range(10)])
def EqualSumDp(a, n):
s = sum(a)
if s & 1:
return False
s = s//2
for j in range(n+1):
dp[j][0] = True
for j in range(1, s+1):
dp[0][j] = False
for i in range(1, n+1):
for j in range(1, s+1):
dp[i][j] = dp[i-1][j]
if a[i-1] <= j:
dp[i][j] |= dp[i-1][j-a[i-1]]
print(dp)
return dp[n][s]
print(EqualSumDp([1, 5, 5, 11], 4))
|
"""
Given an Array of non-negative intergers find if we can divide the array into two sub arrays of equal sum
"""
dp = [[False for i in range(50)] for i in range(10)]
def equal_sum_dp(a, n):
s = sum(a)
if s & 1:
return False
s = s // 2
for j in range(n + 1):
dp[j][0] = True
for j in range(1, s + 1):
dp[0][j] = False
for i in range(1, n + 1):
for j in range(1, s + 1):
dp[i][j] = dp[i - 1][j]
if a[i - 1] <= j:
dp[i][j] |= dp[i - 1][j - a[i - 1]]
print(dp)
return dp[n][s]
print(equal_sum_dp([1, 5, 5, 11], 4))
|
while True:
inp = input('Enter a number: ')
if inp == 'done' :
break
try:
num = float(inp)
except:
print ('Invalid input')
continue
numbers = list(num)
minimum = None
maximum = None
for num in numbers :
if minimum == None or num < minimum :
minimum = num
for num in numbers :
if maximum == None or maximum < num :
maximum = num
print('Maximum:', maximum)
print('Minimum:', minimum)
|
while True:
inp = input('Enter a number: ')
if inp == 'done':
break
try:
num = float(inp)
except:
print('Invalid input')
continue
numbers = list(num)
minimum = None
maximum = None
for num in numbers:
if minimum == None or num < minimum:
minimum = num
for num in numbers:
if maximum == None or maximum < num:
maximum = num
print('Maximum:', maximum)
print('Minimum:', minimum)
|
# Programmed by </Rudransh Joshi> | Class XII - A | Kendriya Vidyalaya Haldwani Cantt :)
out = [] # Initialising an empty list which will store out results
def table(num, start=1): # Table function which will return us a list of numbers as table of the given number
global upto
if start > upto: # Code logic
return
out.append(str(num * start))
return table(num, start + 1)
while True:
num = int(input("Enter a number to print out its table:\t"))
upto = int(input("Enter number upto where you want to print table:\t"))
table(num, 1)
print(", ".join(out), "\n")
out = []
|
out = []
def table(num, start=1):
global upto
if start > upto:
return
out.append(str(num * start))
return table(num, start + 1)
while True:
num = int(input('Enter a number to print out its table:\t'))
upto = int(input('Enter number upto where you want to print table:\t'))
table(num, 1)
print(', '.join(out), '\n')
out = []
|
LOADTRACKS = "/loadtracks?identifier={query}"
DECODETRACK = "/decodetrack"
DECODETRACKS = "/decodetracks"
ROUTEPLANNER = "/routeplanner/status"
UNMARK_FAILED_ADDRESS = "/routeplanner/free/address"
UNMARK_ALL_FAILED_ADDRESS = "/routeplanner/free/all"
|
loadtracks = '/loadtracks?identifier={query}'
decodetrack = '/decodetrack'
decodetracks = '/decodetracks'
routeplanner = '/routeplanner/status'
unmark_failed_address = '/routeplanner/free/address'
unmark_all_failed_address = '/routeplanner/free/all'
|
#print(args)
if args[5] == 'COMP':
outTop = op('null')
m = op('movie')
t = op('tox')
fromPath = args[6] + '/' + args[0]
type = op(fromPath + '/info')[1, 'type']
path = op(fromPath + '/info')[1, 'path']
parent().par.Mediatype = type
op('display_select').par.top = fromPath + '/display'
op(fromPath).op('movie').par.cuepulse.pulse()
|
if args[5] == 'COMP':
out_top = op('null')
m = op('movie')
t = op('tox')
from_path = args[6] + '/' + args[0]
type = op(fromPath + '/info')[1, 'type']
path = op(fromPath + '/info')[1, 'path']
parent().par.Mediatype = type
op('display_select').par.top = fromPath + '/display'
op(fromPath).op('movie').par.cuepulse.pulse()
|
"""
Traversing the Node Elements
We can traverse the elements of the node created above by creating a variable and assigning the first element to it.
Then we use a while loop and nextval pointer to print out all the node elements. Note that we have one more additional
data element and the nextval pointers are properly arranged to get the output as a days of a week in a proper sequence.
"""
class daynames:
def __init__(self, dataval=None):
self.dataval = dataval
self.nextval = None
e1 = daynames('Mon')
e2 = daynames('Wed')
e3 = daynames('Tue')
e4 = daynames('Thu')
e1.nextval = e3
e3.nextval = e2
e2.nextval = e4
thisvalue = e1
while thisvalue:
print(thisvalue.dataval)
thisvalue = thisvalue.nextval
"""
When the above code is executed, it produces the following result.
Mon
Tue
Wed
Thu
The additional operations like insertion and deletion can be done by implementing appropriate methods by using this node containers in the general data structures like linked lists and trees. So we study them in the next chapters.
"""
|
"""
Traversing the Node Elements
We can traverse the elements of the node created above by creating a variable and assigning the first element to it.
Then we use a while loop and nextval pointer to print out all the node elements. Note that we have one more additional
data element and the nextval pointers are properly arranged to get the output as a days of a week in a proper sequence.
"""
class Daynames:
def __init__(self, dataval=None):
self.dataval = dataval
self.nextval = None
e1 = daynames('Mon')
e2 = daynames('Wed')
e3 = daynames('Tue')
e4 = daynames('Thu')
e1.nextval = e3
e3.nextval = e2
e2.nextval = e4
thisvalue = e1
while thisvalue:
print(thisvalue.dataval)
thisvalue = thisvalue.nextval
'\n\nWhen the above code is executed, it produces the following result.\n\nMon\nTue\nWed\nThu\n\nThe additional operations like insertion and deletion can be done by implementing appropriate methods by using this node containers in the general data structures like linked lists and trees. So we study them in the next chapters.\n\n\n'
|
#By enumerating with two variables
for i,char in enumerate('enumerate'):
print(1,char)
for i,c in enumerate(list(range(100))):
print(i,c)
if c == 50:
#F is to make the print be able to format the i to a value.
print(f'Index of 50 is: {i}')
|
for (i, char) in enumerate('enumerate'):
print(1, char)
for (i, c) in enumerate(list(range(100))):
print(i, c)
if c == 50:
print(f'Index of 50 is: {i}')
|
def check_values(group, value):
for x in group:
if x == value:
return True
return False
print (check_values([34, 56, 77], 22))
print (check_values([34, 56, 77], 34))
|
def check_values(group, value):
for x in group:
if x == value:
return True
return False
print(check_values([34, 56, 77], 22))
print(check_values([34, 56, 77], 34))
|
class EditGuildFailed(Exception):
"""Raises when editing the guild is failed."""
pass
class FetchGuildChannelsFailed(Exception):
"""Raises when fetching the guild channels is failed."""
pass
class CreateGuildChannelFailed(Exception):
"""Raises when creating new guild channel is failed."""
pass
class ChangeChannelPositionFailed(Exception):
"""Raises when changing a channel position is failed."""
pass
class FetchGuildMemberFailed(Exception):
"""Raises when fetching a guild member is failed."""
pass
class FetchGuildMembersFailed(Exception):
"""Raises when fetching guild member list is failed."""
pass
class SearchGuildMemberFailed(Exception):
"""Raises when searching the guild members is failed."""
pass
class EditGuildMemberFailed(Exception):
"""Raises when editing the guild member is failed."""
pass
class FetchGuildEmojiListFailed(Exception):
"""Raises when fetching the emoji list is failed."""
pass
class FetchGuildEmojiFailed(Exception):
"""Raises when fetching the guild emoji is failed."""
pass
class CreateGuildEmojiFailed(Exception):
"""Raises when creating a guild emoji is failed."""
pass
class EditGuildEmojiFailed(Exception):
"""Raises when editing a guild emoji is failed."""
pass
class DeleteGuildEmojiFailed(Exception):
"""Raises when delete a guild emoji is failed."""
pass
class AddRoleToGuildMemberFailed(Exception):
"""Raises when adding a role to guild member is failed."""
pass
class RemoveRoleFromGuildMemberFailed(Exception):
"""Raises when removing a role from guild member is failed."""
pass
class KickMemberFromGuildFailed(Exception):
"""Raises when kicking a member from guild is failed."""
pass
class BanMemberFromGuildFailed(Exception):
"""Raises when banning a member from guild is failed."""
pass
class UnbanGuildMemberFailed(Exception):
"""Raises when unbanning a user from guild is failed."""
pass
class FetchGuildBansFailed(Exception):
"""Raises when fetching the guild bans is failed."""
pass
class FetchGuildBanFailed(Exception):
"""Raises when fetching the member guild ban is failed."""
pass
class FetchGuildRolesFailed(Exception):
"""Raises when fetching the guild roles is failed."""
pass
class CreateGuildRoleFailed(Exception):
"""Raises when creating new guild role is failed."""
pass
class EditGuildRoleFailed(Exception):
"""Raises when editing the guild role is failed."""
pass
class DeleteGuildRoleFailed(Exception):
"""Raises when deleting the guild role is failed."""
pass
class ChangeClientUserNicknameFailed(Exception):
"""Raises when changing the client-user guild nickname is failed."""
pass
class FetchGuildVanityUrlFailed(Exception):
"""Raises when fetching the vanity url is failed."""
pass
class FetchAuditLogFailed(Exception):
"""Raises when fetching the guild audit log is failed."""
pass
class FetchGuildWebhooksFailed(Exception):
"""Raises when fetching the guild webhooks is failed."""
pass
|
class Editguildfailed(Exception):
"""Raises when editing the guild is failed."""
pass
class Fetchguildchannelsfailed(Exception):
"""Raises when fetching the guild channels is failed."""
pass
class Createguildchannelfailed(Exception):
"""Raises when creating new guild channel is failed."""
pass
class Changechannelpositionfailed(Exception):
"""Raises when changing a channel position is failed."""
pass
class Fetchguildmemberfailed(Exception):
"""Raises when fetching a guild member is failed."""
pass
class Fetchguildmembersfailed(Exception):
"""Raises when fetching guild member list is failed."""
pass
class Searchguildmemberfailed(Exception):
"""Raises when searching the guild members is failed."""
pass
class Editguildmemberfailed(Exception):
"""Raises when editing the guild member is failed."""
pass
class Fetchguildemojilistfailed(Exception):
"""Raises when fetching the emoji list is failed."""
pass
class Fetchguildemojifailed(Exception):
"""Raises when fetching the guild emoji is failed."""
pass
class Createguildemojifailed(Exception):
"""Raises when creating a guild emoji is failed."""
pass
class Editguildemojifailed(Exception):
"""Raises when editing a guild emoji is failed."""
pass
class Deleteguildemojifailed(Exception):
"""Raises when delete a guild emoji is failed."""
pass
class Addroletoguildmemberfailed(Exception):
"""Raises when adding a role to guild member is failed."""
pass
class Removerolefromguildmemberfailed(Exception):
"""Raises when removing a role from guild member is failed."""
pass
class Kickmemberfromguildfailed(Exception):
"""Raises when kicking a member from guild is failed."""
pass
class Banmemberfromguildfailed(Exception):
"""Raises when banning a member from guild is failed."""
pass
class Unbanguildmemberfailed(Exception):
"""Raises when unbanning a user from guild is failed."""
pass
class Fetchguildbansfailed(Exception):
"""Raises when fetching the guild bans is failed."""
pass
class Fetchguildbanfailed(Exception):
"""Raises when fetching the member guild ban is failed."""
pass
class Fetchguildrolesfailed(Exception):
"""Raises when fetching the guild roles is failed."""
pass
class Createguildrolefailed(Exception):
"""Raises when creating new guild role is failed."""
pass
class Editguildrolefailed(Exception):
"""Raises when editing the guild role is failed."""
pass
class Deleteguildrolefailed(Exception):
"""Raises when deleting the guild role is failed."""
pass
class Changeclientusernicknamefailed(Exception):
"""Raises when changing the client-user guild nickname is failed."""
pass
class Fetchguildvanityurlfailed(Exception):
"""Raises when fetching the vanity url is failed."""
pass
class Fetchauditlogfailed(Exception):
"""Raises when fetching the guild audit log is failed."""
pass
class Fetchguildwebhooksfailed(Exception):
"""Raises when fetching the guild webhooks is failed."""
pass
|
a = (1, 2, 3, 4, 5)
print(a, type(a))
b = (6, 7, [10, 20, 30])
print(b, type(b))
b[2].append(100)
print(b, type(b))
print(len(a))
print(2 in a or 5 in a and 3 in a)
print(a + b, b + a)
print(sum(a))
print(a.index(2))
a.count(4)
print(a.__sizeof__())
# you can't change tuple after init
# but you can make changes if you transform it to list
list1 = list(a)
print(list1, type(list1))
list1.append(10)
a = tuple(list1)
print(a, type(a))
|
a = (1, 2, 3, 4, 5)
print(a, type(a))
b = (6, 7, [10, 20, 30])
print(b, type(b))
b[2].append(100)
print(b, type(b))
print(len(a))
print(2 in a or (5 in a and 3 in a))
print(a + b, b + a)
print(sum(a))
print(a.index(2))
a.count(4)
print(a.__sizeof__())
list1 = list(a)
print(list1, type(list1))
list1.append(10)
a = tuple(list1)
print(a, type(a))
|
# Copyright 2014 Hewlett-Packard Development Company, L.P.
# Copyright 2019-2020 Hewlett Packard Enterprise Development LP
#
# 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.
#
# Hewlett Packard Enterprise made changes in this file.
"""Exception Class for sdflexutils module."""
class SDFlexUtilsException(Exception):
"""Parent class for all sdflexutils exceptions."""
pass
class InvalidInputError(Exception):
message = "Invalid Input: %(reason)s"
def __init__(self, message=None, **kwargs):
if not message:
message = self.message
if 'reason' not in kwargs:
kwargs['reason'] = 'Unknown'
message = message % kwargs
super(InvalidInputError, self).__init__(message)
class SDFlexError(SDFlexUtilsException):
"""Base Exception.
This exception is used when a problem is encountered in
executing an operation on the RMC.
"""
def __init__(self, message, errorcode=None):
super(SDFlexError, self).__init__(message)
class SDFlexConnectionError(SDFlexError):
"""Cannot connect to SDFlex.
This exception is used to communicate an HTTP connection
error from the SDFlex to the caller.
"""
def __init__(self, message):
super(SDFlexConnectionError, self).__init__(message)
class SDFlexCommandNotSupportedError(SDFlexError):
"""Command not supported on the platform.
This exception is raised when SDFlex client library fails to
communicate properly with the sdflexrmc
"""
def __init__(self, message, errorcode=None):
super(SDFlexCommandNotSupportedError, self).__init__(message)
class RedfishError(SDFlexUtilsException):
"""Basic exception for errors raised by Redfish operations."""
message = None
def __init__(self, **kwargs):
if self.message and kwargs:
self.message = self.message % kwargs
super(RedfishError, self).__init__(self.message)
class MissingAttributeError(RedfishError):
message = ('The attribute %(attribute)s is missing from the '
'resource %(resource)s')
class HPSSAException(SDFlexUtilsException):
message = "An exception occured in ssa module"
def __init__(self, message=None, **kwargs):
if not message:
message = self.message
message = message % kwargs
super(HPSSAException, self).__init__(message)
class PhysicalDisksNotFoundError(HPSSAException):
message = ("Not enough physical disks were found to create logical disk "
"of size %(size_gb)s GB and raid level %(raid_level)s")
class HPSSAOperationError(HPSSAException):
message = ("An error was encountered while doing ssa configuration: "
"%(reason)s.")
class StorcliException(SDFlexUtilsException):
message = "An exception occured in storcli module"
def __init__(self, message=None, **kwargs):
if not message:
message = self.message
message = message % kwargs
super(StorcliException, self).__init__(message)
class StorcliPhysicalDisksNotFoundError(StorcliException):
message = ("Not enough physical disks were found to create logical disk "
"of size %(size_gb)s GB and raid level %(raid_level)s")
class StorcliOperationError(StorcliException):
message = ("An error was encountered while doing storcli configuration: "
"%(reason)s.")
class ImageRefValidationFailed(SDFlexUtilsException):
message = ("Validation of image href %(image_href)s failed, "
"reason: %(reason)s")
def __init__(self, message=None, **kwargs):
if not message:
message = self.message % kwargs
super(ImageRefValidationFailed, self).__init__(message)
class ImageRefDownloadFailed(SDFlexUtilsException):
message = ("Downloading image href %(image_href)s failed, "
"reason: %(reason)s")
def __init__(self, message=None, **kwargs):
if not message:
message = self.message % kwargs
super(ImageRefDownloadFailed, self).__init__(message)
class SUMOperationError(SDFlexUtilsException):
"""SUM based firmware update operation error.
This exception is used when a problem is encountered in
executing a SUM operation.
"""
message = ("An error occurred while performing SUM based firmware "
"update, reason: %(reason)s")
def __init__(self, message=None, **kwargs):
if not message:
message = self.message % kwargs
super(SUMOperationError, self).__init__(message)
|
"""Exception Class for sdflexutils module."""
class Sdflexutilsexception(Exception):
"""Parent class for all sdflexutils exceptions."""
pass
class Invalidinputerror(Exception):
message = 'Invalid Input: %(reason)s'
def __init__(self, message=None, **kwargs):
if not message:
message = self.message
if 'reason' not in kwargs:
kwargs['reason'] = 'Unknown'
message = message % kwargs
super(InvalidInputError, self).__init__(message)
class Sdflexerror(SDFlexUtilsException):
"""Base Exception.
This exception is used when a problem is encountered in
executing an operation on the RMC.
"""
def __init__(self, message, errorcode=None):
super(SDFlexError, self).__init__(message)
class Sdflexconnectionerror(SDFlexError):
"""Cannot connect to SDFlex.
This exception is used to communicate an HTTP connection
error from the SDFlex to the caller.
"""
def __init__(self, message):
super(SDFlexConnectionError, self).__init__(message)
class Sdflexcommandnotsupportederror(SDFlexError):
"""Command not supported on the platform.
This exception is raised when SDFlex client library fails to
communicate properly with the sdflexrmc
"""
def __init__(self, message, errorcode=None):
super(SDFlexCommandNotSupportedError, self).__init__(message)
class Redfisherror(SDFlexUtilsException):
"""Basic exception for errors raised by Redfish operations."""
message = None
def __init__(self, **kwargs):
if self.message and kwargs:
self.message = self.message % kwargs
super(RedfishError, self).__init__(self.message)
class Missingattributeerror(RedfishError):
message = 'The attribute %(attribute)s is missing from the resource %(resource)s'
class Hpssaexception(SDFlexUtilsException):
message = 'An exception occured in ssa module'
def __init__(self, message=None, **kwargs):
if not message:
message = self.message
message = message % kwargs
super(HPSSAException, self).__init__(message)
class Physicaldisksnotfounderror(HPSSAException):
message = 'Not enough physical disks were found to create logical disk of size %(size_gb)s GB and raid level %(raid_level)s'
class Hpssaoperationerror(HPSSAException):
message = 'An error was encountered while doing ssa configuration: %(reason)s.'
class Storcliexception(SDFlexUtilsException):
message = 'An exception occured in storcli module'
def __init__(self, message=None, **kwargs):
if not message:
message = self.message
message = message % kwargs
super(StorcliException, self).__init__(message)
class Storcliphysicaldisksnotfounderror(StorcliException):
message = 'Not enough physical disks were found to create logical disk of size %(size_gb)s GB and raid level %(raid_level)s'
class Storclioperationerror(StorcliException):
message = 'An error was encountered while doing storcli configuration: %(reason)s.'
class Imagerefvalidationfailed(SDFlexUtilsException):
message = 'Validation of image href %(image_href)s failed, reason: %(reason)s'
def __init__(self, message=None, **kwargs):
if not message:
message = self.message % kwargs
super(ImageRefValidationFailed, self).__init__(message)
class Imagerefdownloadfailed(SDFlexUtilsException):
message = 'Downloading image href %(image_href)s failed, reason: %(reason)s'
def __init__(self, message=None, **kwargs):
if not message:
message = self.message % kwargs
super(ImageRefDownloadFailed, self).__init__(message)
class Sumoperationerror(SDFlexUtilsException):
"""SUM based firmware update operation error.
This exception is used when a problem is encountered in
executing a SUM operation.
"""
message = 'An error occurred while performing SUM based firmware update, reason: %(reason)s'
def __init__(self, message=None, **kwargs):
if not message:
message = self.message % kwargs
super(SUMOperationError, self).__init__(message)
|
class Solution:
def lowestCommonAncestor(self, root, p, q):
curr = root
while curr:
if p.val > curr.val and q.val > curr.val:
curr = curr.right
elif p.val < curr.val and q.val < curr.val:
curr = curr.left
else:
return curr
|
class Solution:
def lowest_common_ancestor(self, root, p, q):
curr = root
while curr:
if p.val > curr.val and q.val > curr.val:
curr = curr.right
elif p.val < curr.val and q.val < curr.val:
curr = curr.left
else:
return curr
|
def sqroot(num):
"""Natural square root (decimal points are ignored).
Needed because math.sqrt breaks with numbers bigger than 2 to the power of 1024."""
lenght = len(str(num))#convert number to string
half = str(num)[0:(lenght//2)]#create a substring that is roughly a half of the number
i = (int("1" + "0" * (lenght//2)))
root = int(half)#convert the substring into number
while(True):#infinite loop that adds and substracts until the root equals the root of number (without decimals)
if(i < 1):
break
if(((pow(root,2))>= (num-1)) and (pow(root,2)<= (num+1))):
break
elif((pow(root,2)) < (num)):
while((pow(root,2)) < num):
root = int(root) + int(i)
i = i//10
else:
while((pow(root,2)) > num):
root = int(root) - int(i)
return root
if __name__ == "__main__":
root = (sqroot(int(input())))
print(str(root*root))
print(str(root))
|
def sqroot(num):
"""Natural square root (decimal points are ignored).
Needed because math.sqrt breaks with numbers bigger than 2 to the power of 1024."""
lenght = len(str(num))
half = str(num)[0:lenght // 2]
i = int('1' + '0' * (lenght // 2))
root = int(half)
while True:
if i < 1:
break
if pow(root, 2) >= num - 1 and pow(root, 2) <= num + 1:
break
elif pow(root, 2) < num:
while pow(root, 2) < num:
root = int(root) + int(i)
i = i // 10
else:
while pow(root, 2) > num:
root = int(root) - int(i)
return root
if __name__ == '__main__':
root = sqroot(int(input()))
print(str(root * root))
print(str(root))
|
A5_CHECK_DIR = '/etc/dd-agent/checks.d'
A5_CONF_DIR = '/etc/dd-agent/conf.d'
A5_EXE_PATH = '/opt/datadog-agent/agent/agent.py'
A6_CHECK_DIR = '/etc/datadog-agent/checks.d'
A6_CONF_DIR = '/etc/datadog-agent/conf.d'
A6_EXE_PATH = '/opt/datadog-agent/bin/agent/agent'
def get_agent_exe_path(agent_version_major):
if int(agent_version_major) >= 6:
return A6_EXE_PATH
else:
return A5_EXE_PATH
def get_conf_path(check, agent_version_major):
if int(agent_version_major) >= 6:
return '{conf_dir}/{check}.d/{check}.yaml'.format(conf_dir=A6_CONF_DIR, check=check)
else:
return '{conf_dir}/{check}.yaml'.format(conf_dir=A5_CONF_DIR, check=check)
def get_conf_example_glob(check, agent_version_major):
if int(agent_version_major) >= 6:
return '{conf_dir}/{check}.d/conf*'.format(conf_dir=A6_CONF_DIR, check=check)
else:
return '{conf_dir}/{check}*'.format(conf_dir=A5_CONF_DIR, check=check)
|
a5_check_dir = '/etc/dd-agent/checks.d'
a5_conf_dir = '/etc/dd-agent/conf.d'
a5_exe_path = '/opt/datadog-agent/agent/agent.py'
a6_check_dir = '/etc/datadog-agent/checks.d'
a6_conf_dir = '/etc/datadog-agent/conf.d'
a6_exe_path = '/opt/datadog-agent/bin/agent/agent'
def get_agent_exe_path(agent_version_major):
if int(agent_version_major) >= 6:
return A6_EXE_PATH
else:
return A5_EXE_PATH
def get_conf_path(check, agent_version_major):
if int(agent_version_major) >= 6:
return '{conf_dir}/{check}.d/{check}.yaml'.format(conf_dir=A6_CONF_DIR, check=check)
else:
return '{conf_dir}/{check}.yaml'.format(conf_dir=A5_CONF_DIR, check=check)
def get_conf_example_glob(check, agent_version_major):
if int(agent_version_major) >= 6:
return '{conf_dir}/{check}.d/conf*'.format(conf_dir=A6_CONF_DIR, check=check)
else:
return '{conf_dir}/{check}*'.format(conf_dir=A5_CONF_DIR, check=check)
|
# Definition for an interval.
# class Interval(object):
# def __init__(self, s=0, e=0):
# self.start = s
# self.end = e
class Solution(object):
def minMeetingRooms(self, intervals):
"""
:type intervals: List[Interval]
:rtype: int
"""
intervals = sorted(intervals, key=lambda i:i.start)
rooms = list()
for i, interv in enumerate(intervals):
settled = False
for m, meeting in enumerate(rooms):
if meeting.end <= interv.start:
rooms[m] = interv
settled = True
break
if not settled:
rooms.append(interv)
return len(rooms)
|
class Solution(object):
def min_meeting_rooms(self, intervals):
"""
:type intervals: List[Interval]
:rtype: int
"""
intervals = sorted(intervals, key=lambda i: i.start)
rooms = list()
for (i, interv) in enumerate(intervals):
settled = False
for (m, meeting) in enumerate(rooms):
if meeting.end <= interv.start:
rooms[m] = interv
settled = True
break
if not settled:
rooms.append(interv)
return len(rooms)
|
def pytest_addoption(parser):
parser.addoption("--unity_exe_path",
action="store",
default=None)
|
def pytest_addoption(parser):
parser.addoption('--unity_exe_path', action='store', default=None)
|
#
# Copyright (C) 2018 The Android Open Source Project
#
# 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.
#
# model
model = Model()
i1 = Input("input", "TENSOR_FLOAT32", "{2, 2}")
perms = Input("perms", "TENSOR_INT32", "{0}")
output = Output("output", "TENSOR_FLOAT32", "{2, 2}")
model = model.Operation("TRANSPOSE", i1, perms).To(output)
# Additional data type
quant8 = DataTypeConverter().Identify({
i1: ("TENSOR_QUANT8_ASYMM", 0.5, 0),
output: ("TENSOR_QUANT8_ASYMM", 0.5, 0)
})
# Instantiate an example
Example({
i1: [1.0, 2.0,
3.0, 4.0],
perms: [],
output: [1.0, 3.0,
2.0, 4.0]
}).AddVariations("relaxed", quant8)
# TRANSPOSE of data type TENSOR_FLOAT32 and TENSOR_QUANT8_ASYMM is introduced in V1_1.
Example.SetVersion("V1_1",
"transpose_v1_2",
"transpose_v1_2_all_inputs_as_internal",
"transpose_v1_2_quant8",
"transpose_v1_2_quant8_all_inputs_as_internal")
# zero-sized input
# Use BOX_WITH_NMS_LIMIT op to generate a zero-sized internal tensor for box cooridnates.
p1 = Parameter("scores", "TENSOR_FLOAT32", "{1, 2}", [0.90, 0.10]) # scores
p2 = Parameter("roi", "TENSOR_FLOAT32", "{1, 8}", [1, 1, 10, 10, 0, 0, 10, 10]) # roi
o1 = Output("scoresOut", "TENSOR_FLOAT32", "{0}") # scores out
o2 = Output("classesOut", "TENSOR_INT32", "{0}") # classes out
tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out
tmp2 = Internal("batchSplitOut", "TENSOR_INT32", "{0}") # batch split out
model = Model("zero_sized").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
# Use ROI_ALIGN op to convert into zero-sized feature map.
layout = BoolScalar("layout", False) # NHWC
i1 = Input("in", "TENSOR_FLOAT32", "{1, 1, 1, 1}")
zero_sized = Internal("featureMap", "TENSOR_FLOAT32", "{0, 2, 2, 1}")
model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
# TRANSPOSE op with numBatches = 0.
o3 = Output("out", "TENSOR_FLOAT32", "{0, 1, 2, 2}") # out
model = model.Operation("TRANSPOSE", zero_sized, [0, 3, 1, 2]).To(o3)
quant8 = DataTypeConverter().Identify({
p1: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
p2: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
o1: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
i1: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
zero_sized: ("TENSOR_QUANT8_ASYMM", 0.1, 128),
o3: ("TENSOR_QUANT8_ASYMM", 0.1, 128)
})
Example({
i1: [1],
o1: [],
o2: [],
o3: [],
}).AddVariations("relaxed", quant8, "float16")
|
model = model()
i1 = input('input', 'TENSOR_FLOAT32', '{2, 2}')
perms = input('perms', 'TENSOR_INT32', '{0}')
output = output('output', 'TENSOR_FLOAT32', '{2, 2}')
model = model.Operation('TRANSPOSE', i1, perms).To(output)
quant8 = data_type_converter().Identify({i1: ('TENSOR_QUANT8_ASYMM', 0.5, 0), output: ('TENSOR_QUANT8_ASYMM', 0.5, 0)})
example({i1: [1.0, 2.0, 3.0, 4.0], perms: [], output: [1.0, 3.0, 2.0, 4.0]}).AddVariations('relaxed', quant8)
Example.SetVersion('V1_1', 'transpose_v1_2', 'transpose_v1_2_all_inputs_as_internal', 'transpose_v1_2_quant8', 'transpose_v1_2_quant8_all_inputs_as_internal')
p1 = parameter('scores', 'TENSOR_FLOAT32', '{1, 2}', [0.9, 0.1])
p2 = parameter('roi', 'TENSOR_FLOAT32', '{1, 8}', [1, 1, 10, 10, 0, 0, 10, 10])
o1 = output('scoresOut', 'TENSOR_FLOAT32', '{0}')
o2 = output('classesOut', 'TENSOR_INT32', '{0}')
tmp1 = internal('roiOut', 'TENSOR_FLOAT32', '{0, 4}')
tmp2 = internal('batchSplitOut', 'TENSOR_INT32', '{0}')
model = model('zero_sized').Operation('BOX_WITH_NMS_LIMIT', p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
layout = bool_scalar('layout', False)
i1 = input('in', 'TENSOR_FLOAT32', '{1, 1, 1, 1}')
zero_sized = internal('featureMap', 'TENSOR_FLOAT32', '{0, 2, 2, 1}')
model = model.Operation('ROI_ALIGN', i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
o3 = output('out', 'TENSOR_FLOAT32', '{0, 1, 2, 2}')
model = model.Operation('TRANSPOSE', zero_sized, [0, 3, 1, 2]).To(o3)
quant8 = data_type_converter().Identify({p1: ('TENSOR_QUANT8_ASYMM', 0.1, 128), p2: ('TENSOR_QUANT16_ASYMM', 0.125, 0), o1: ('TENSOR_QUANT8_ASYMM', 0.1, 128), tmp1: ('TENSOR_QUANT16_ASYMM', 0.125, 0), i1: ('TENSOR_QUANT8_ASYMM', 0.1, 128), zero_sized: ('TENSOR_QUANT8_ASYMM', 0.1, 128), o3: ('TENSOR_QUANT8_ASYMM', 0.1, 128)})
example({i1: [1], o1: [], o2: [], o3: []}).AddVariations('relaxed', quant8, 'float16')
|
# encoding: utf-8
# module Grasshopper.Kernel.Graphs calls itself Graphs
# from Grasshopper,Version=1.0.0.20,Culture=neutral,PublicKeyToken=dda4f5ec2cd80803
# by generator 1.145
""" NamespaceTracker represent a CLS namespace. """
# no imports
# functions
def GH_GraphProxyObject(n_owner): # real signature unknown; restored from __doc__
""" GH_GraphProxyObject(n_owner: IGH_Graph) """
pass
# classes
class GH_AbstractGraph(object,IGH_Graph,GH_ISerializable):
# no doc
def AddGrip(self,*args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def ClearCaches(self):
""" ClearCaches(self: GH_AbstractGraph) """
pass
def ClearGrips(self,*args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def CreateDerivedDuplicate(self,*args):
""" CreateDerivedDuplicate(self: GH_AbstractGraph) -> GH_AbstractGraph """
pass
def CreateGrips(self,*args):
""" CreateGrips(self: GH_AbstractGraph) """
pass
def CurveToPointFArray(self,*args):
""" CurveToPointFArray(Crv: Curve,dest: RectangleF) -> Array[PointF] """
pass
def Draw_PostRenderGraph(self,g,cnt):
""" Draw_PostRenderGraph(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer) """
pass
def Draw_PostRenderGrid(self,g,cnt):
""" Draw_PostRenderGrid(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer) """
pass
def Draw_PostRenderGrip(self,g,cnt,index):
""" Draw_PostRenderGrip(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer,index: int) """
pass
def Draw_PostRenderTags(self,g,cnt):
""" Draw_PostRenderTags(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer) """
pass
def Draw_PreRenderGraph(self,g,cnt):
""" Draw_PreRenderGraph(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def Draw_PreRenderGrid(self,g,cnt):
""" Draw_PreRenderGrid(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def Draw_PreRenderGrip(self,g,cnt,index):
""" Draw_PreRenderGrip(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer,index: int) -> GH_GraphDrawInstruction """
pass
def Draw_PreRenderTags(self,g,cnt):
""" Draw_PreRenderTags(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def Duplicate(self):
""" Duplicate(self: GH_AbstractGraph) -> IGH_Graph """
pass
def EmitProxyObject(self):
""" EmitProxyObject(self: GH_AbstractGraph) -> IGH_GraphProxyObject """
pass
def GDI_GraphPath(self,reg):
""" GDI_GraphPath(self: GH_AbstractGraph,reg: RectangleF) -> Array[PointF] """
pass
def GHGraphToPointArray(self,*args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def Internal_GripChanged(self,*args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def IntersectionEvaluate(self,*args):
""" IntersectionEvaluate(C: Curve,offset: float) -> float """
pass
def OnGraphChanged(self,bIntermediate):
""" OnGraphChanged(self: GH_AbstractGraph,bIntermediate: bool) """
pass
def PrepareForUse(self):
""" PrepareForUse(self: GH_AbstractGraph) """
pass
def Read(self,reader):
""" Read(self: GH_AbstractGraph,reader: GH_IReader) -> bool """
pass
def UpdateEquation(self,*args):
""" UpdateEquation(self: GH_AbstractGraph) """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_AbstractGraph,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_AbstractGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
@staticmethod
def __new__(self,*args): #cannot find CLR constructor
""" __new__(cls: type,nName: str,nDescription: str) """
pass
def __repr__(self,*args):
""" __repr__(self: object) -> str """
pass
Description=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Description(self: GH_AbstractGraph) -> str
"""
GraphTypeID=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: GraphTypeID(self: GH_AbstractGraph) -> Guid
"""
Grips=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Grips(self: GH_AbstractGraph) -> List[GH_GraphGrip]
"""
Icon_16x16=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Icon_16x16(self: GH_AbstractGraph) -> Image
"""
IsValid=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: IsValid(self: GH_AbstractGraph) -> bool
"""
Name=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Name(self: GH_AbstractGraph) -> str
"""
GH_Evaluator=None
GraphChanged=None
class GH_BezierGraph(GH_AbstractGraph,IGH_Graph,GH_ISerializable):
""" GH_BezierGraph() """
def AddGrip(self,*args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def ClearCaches(self):
""" ClearCaches(self: GH_BezierGraph) """
pass
def ClearGrips(self,*args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def CreateDerivedDuplicate(self,*args):
""" CreateDerivedDuplicate(self: GH_BezierGraph) -> GH_AbstractGraph """
pass
def CreateGrips(self,*args):
""" CreateGrips(self: GH_BezierGraph) """
pass
def Curve(self,*args):
""" Curve(self: GH_BezierGraph) -> Curve """
pass
def Draw_PreRenderGrip(self,g,cnt,index):
""" Draw_PreRenderGrip(self: GH_BezierGraph,g: Graphics,cnt: GH_GraphContainer,index: int) -> GH_GraphDrawInstruction """
pass
def GDI_GraphPath(self,reg):
""" GDI_GraphPath(self: GH_BezierGraph,reg: RectangleF) -> Array[PointF] """
pass
def GHGraphToPointArray(self,*args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def Internal_GripChanged(self,*args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def Read(self,reader):
""" Read(self: GH_BezierGraph,reader: GH_IReader) -> bool """
pass
def UpdateEquation(self,*args):
""" UpdateEquation(self: GH_BezierGraph) """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_BezierGraph,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_BezierGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
GraphTypeID=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: GraphTypeID(self: GH_BezierGraph) -> Guid
"""
Icon_16x16=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Icon_16x16(self: GH_BezierGraph) -> Image
"""
IsValid=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: IsValid(self: GH_BezierGraph) -> bool
"""
class GH_ConicGraph(GH_AbstractGraph,IGH_Graph,GH_ISerializable):
""" GH_ConicGraph() """
def AddGrip(self,*args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def ClearGrips(self,*args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def CreateDerivedDuplicate(self,*args):
""" CreateDerivedDuplicate(self: GH_ConicGraph) -> GH_AbstractGraph """
pass
def CreateGrips(self,*args):
""" CreateGrips(self: GH_ConicGraph) """
pass
def Curve(self,*args):
""" Curve(self: GH_ConicGraph) -> NurbsCurve """
pass
def DestroyCurve(self,*args):
""" DestroyCurve(self: GH_ConicGraph) """
pass
def FitConic(self,*args):
""" FitConic(self: GH_ConicGraph,S: Point3d) -> NurbsCurve """
pass
def GDI_GraphPath(self,reg):
""" GDI_GraphPath(self: GH_ConicGraph,reg: RectangleF) -> Array[PointF] """
pass
def GHGraphToPointArray(self,*args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def Internal_GripChanged(self,*args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def MakeConic(self,*args):
""" MakeConic(self: GH_ConicGraph,w: float) -> NurbsCurve """
pass
def Read(self,reader):
""" Read(self: GH_ConicGraph,reader: GH_IReader) -> bool """
pass
def UpdateEquation(self,*args):
""" UpdateEquation(self: GH_ConicGraph) """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_ConicGraph,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_ConicGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
GraphTypeID=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: GraphTypeID(self: GH_ConicGraph) -> Guid
"""
Icon_16x16=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Icon_16x16(self: GH_ConicGraph) -> Image
"""
IsValid=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: IsValid(self: GH_ConicGraph) -> bool
"""
class GH_DoubleSineGraph(GH_AbstractGraph,IGH_Graph,GH_ISerializable):
""" GH_DoubleSineGraph() """
def AddGrip(self,*args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def ClearCaches(self):
""" ClearCaches(self: GH_DoubleSineGraph) """
pass
def ClearGrips(self,*args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def CreateDerivedDuplicate(self,*args):
""" CreateDerivedDuplicate(self: GH_DoubleSineGraph) -> GH_AbstractGraph """
pass
def CreateGrips(self,*args):
""" CreateGrips(self: GH_DoubleSineGraph) """
pass
def Draw_PreRenderGraph(self,g,cnt):
""" Draw_PreRenderGraph(self: GH_DoubleSineGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def Draw_PreRenderGrip(self,g,cnt,index):
""" Draw_PreRenderGrip(self: GH_DoubleSineGraph,g: Graphics,cnt: GH_GraphContainer,index: int) -> GH_GraphDrawInstruction """
pass
def GDI_GraphPath(self,reg):
""" GDI_GraphPath(self: GH_DoubleSineGraph,reg: RectangleF) -> Array[PointF] """
pass
def GHGraphToPointArray(self,*args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def GraphAccuracy(self,*args):
""" GraphAccuracy(self: GH_DoubleSineGraph,reg: RectangleF) -> float """
pass
def Internal_GripChanged(self,*args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def Read(self,reader):
""" Read(self: GH_DoubleSineGraph,reader: GH_IReader) -> bool """
pass
def RecFromPoints(self,*args):
""" RecFromPoints(self: GH_DoubleSineGraph,a: PointF,b: PointF) -> Rectangle """
pass
def UpdateEquation(self,*args):
""" UpdateEquation(self: GH_DoubleSineGraph) """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_DoubleSineGraph,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_DoubleSineGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
GraphTypeID=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: GraphTypeID(self: GH_DoubleSineGraph) -> Guid
"""
Icon_16x16=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Icon_16x16(self: GH_DoubleSineGraph) -> Image
"""
IsValid=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: IsValid(self: GH_DoubleSineGraph) -> bool
"""
m_eq0=None
m_eq1=None
m_path0=None
m_path1=None
class GH_GaussianGraph(GH_AbstractGraph,IGH_Graph,GH_ISerializable):
""" GH_GaussianGraph() """
def AddGrip(self,*args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def ClearGrips(self,*args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def CreateDerivedDuplicate(self,*args):
""" CreateDerivedDuplicate(self: GH_GaussianGraph) -> GH_AbstractGraph """
pass
def CreateGrips(self,*args):
""" CreateGrips(self: GH_GaussianGraph) """
pass
def GHGraphToPointArray(self,*args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def Internal_GripChanged(self,*args):
""" Internal_GripChanged(self: GH_GaussianGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def Read(self,reader):
""" Read(self: GH_GaussianGraph,reader: GH_IReader) -> bool """
pass
def UpdateEquation(self,*args):
""" UpdateEquation(self: GH_GaussianGraph) """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_GaussianGraph,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_GaussianGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
GraphTypeID=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: GraphTypeID(self: GH_GaussianGraph) -> Guid
"""
Icon_16x16=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Icon_16x16(self: GH_GaussianGraph) -> Image
"""
IsValid=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: IsValid(self: GH_GaussianGraph) -> bool
"""
class GH_GraphContainer(object,GH_ISerializable,IGH_ResponsiveObject):
"""
GH_GraphContainer(n_graph: IGH_Graph)
GH_GraphContainer(n_graph: IGH_Graph,n_x0: float,n_x1: float,n_y0: float,n_y1: float)
"""
def ClearCaches(self):
""" ClearCaches(self: GH_GraphContainer) """
pass
def Duplicate(self):
""" Duplicate(self: GH_GraphContainer) -> GH_GraphContainer """
pass
def FromX(self,t):
""" FromX(self: GH_GraphContainer,t: float) -> float """
pass
def FromY(self,t):
""" FromY(self: GH_GraphContainer,t: float) -> float """
pass
def Internal_Render_Graph(self,*args):
""" Internal_Render_Graph(self: GH_GraphContainer,G: Graphics) """
pass
def Internal_Render_Grip(self,*args):
""" Internal_Render_Grip(self: GH_GraphContainer,g: Graphics,x: int,y: int) """
pass
def Internal_Render_Grips(self,*args):
""" Internal_Render_Grips(self: GH_GraphContainer,G: Graphics) """
pass
def Internal_Render_HorizontalConstraint(self,*args):
""" Internal_Render_HorizontalConstraint(self: GH_GraphContainer,g: Graphics,y: int) """
pass
def Internal_Render_InvalidIcon(self,*args):
""" Internal_Render_InvalidIcon(self: GH_GraphContainer,g: Graphics) """
pass
def Internal_Render_LockedIcon(self,*args):
""" Internal_Render_LockedIcon(self: GH_GraphContainer,g: Graphics) """
pass
def Internal_Render_TagGDIObjects(self,*args):
""" Internal_Render_TagGDIObjects(self: GH_GraphContainer,zoom: Single,bg_brush: SolidBrush,fg_brush: SolidBrush,fg_pen: Pen) -> (SolidBrush,SolidBrush,Pen) """
pass
def Internal_Render_TagX(self,*args):
""" Internal_Render_TagX(self: GH_GraphContainer,g: Graphics,graphrec: RectangleF,r_a: float,r_b: float) """
pass
def Internal_Render_TagY(self,*args):
""" Internal_Render_TagY(self: GH_GraphContainer,g: Graphics,graphrec: RectangleF,r_a: float,r_b: float) """
pass
def Internal_Render_TextTag(self,*args):
""" Internal_Render_TextTag(self: GH_GraphContainer,g: Graphics,graphrec: RectangleF,lowerright: bool,tag: str) """
pass
def Internal_Render_VerticalConstraint(self,*args):
""" Internal_Render_VerticalConstraint(self: GH_GraphContainer,g: Graphics,x: int) """
pass
def NearestGrip(self,*args):
""" NearestGrip(self: GH_GraphContainer,pt: PointF,max_search: float) -> int """
pass
def OnGraphChanged(self,bIntermediate):
""" OnGraphChanged(self: GH_GraphContainer,bIntermediate: bool) """
pass
def PrepareForUse(self):
""" PrepareForUse(self: GH_GraphContainer) """
pass
def Read(self,reader):
""" Read(self: GH_GraphContainer,reader: GH_IReader) -> bool """
pass
def RemapPointsToGraphRegion(self,pts):
""" RemapPointsToGraphRegion(self: GH_GraphContainer,pts: Array[PointF]) """
pass
def Render(self,G,bIncludeDomainTags,samples):
""" Render(self: GH_GraphContainer,G: Graphics,bIncludeDomainTags: bool,samples: List[float]) """
pass
@staticmethod
def Render_GraphBackground(G,region,bActive):
""" Render_GraphBackground(G: Graphics,region: RectangleF,bActive: bool) """
pass
@staticmethod
def Render_GraphGrid(G,region):
""" Render_GraphGrid(G: Graphics,region: RectangleF) """
pass
@staticmethod
def Render_GraphPen():
""" Render_GraphPen() -> Pen """
pass
@staticmethod
def Render_GuidePen():
""" Render_GuidePen() -> Pen """
pass
@staticmethod
def Render_HorizontalConstraint(g,rec,t):
""" Render_HorizontalConstraint(g: Graphics,rec: RectangleF,t: float) """
pass
@staticmethod
def Render_VerticalConstraint(g,rec,t):
""" Render_VerticalConstraint(g: Graphics,rec: RectangleF,t: float) """
pass
def RespondToKeyDown(self,sender,e):
""" RespondToKeyDown(self: GH_GraphContainer,sender: GH_Canvas,e: KeyEventArgs) -> GH_ObjectResponse """
pass
def RespondToKeyUp(self,sender,e):
""" RespondToKeyUp(self: GH_GraphContainer,sender: GH_Canvas,e: KeyEventArgs) -> GH_ObjectResponse """
pass
def RespondToMouseDoubleClick(self,sender,e):
""" RespondToMouseDoubleClick(self: GH_GraphContainer,sender: GH_Canvas,e: GH_CanvasMouseEvent) -> GH_ObjectResponse """
pass
def RespondToMouseDown(self,sender,e):
""" RespondToMouseDown(self: GH_GraphContainer,sender: GH_Canvas,e: GH_CanvasMouseEvent) -> GH_ObjectResponse """
pass
def RespondToMouseMove(self,sender,e):
""" RespondToMouseMove(self: GH_GraphContainer,sender: GH_Canvas,e: GH_CanvasMouseEvent) -> GH_ObjectResponse """
pass
def RespondToMouseUp(self,sender,e):
""" RespondToMouseUp(self: GH_GraphContainer,sender: GH_Canvas,e: GH_CanvasMouseEvent) -> GH_ObjectResponse """
pass
def SolveGraphPath(self,*args):
""" SolveGraphPath(self: GH_GraphContainer) -> GraphicsPath """
pass
def ToRegionBox(self,pt):
""" ToRegionBox(self: GH_GraphContainer,pt: PointF) -> PointF """
pass
def ToRegionBox_x(self,x):
""" ToRegionBox_x(self: GH_GraphContainer,x: float) -> Single """
pass
def ToRegionBox_y(self,y):
""" ToRegionBox_y(self: GH_GraphContainer,y: float) -> Single """
pass
def ToUnitBox(self,pt):
""" ToUnitBox(self: GH_GraphContainer,pt: PointF) -> PointF """
pass
def ToX(self,t_unit):
""" ToX(self: GH_GraphContainer,t_unit: float) -> float """
pass
def ToY(self,t_unit):
""" ToY(self: GH_GraphContainer,t_unit: float) -> float """
pass
def TryValueAt(self,t):
""" TryValueAt(self: GH_GraphContainer,t: float) -> float """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_GraphContainer,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_GraphContainer,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
@staticmethod
def __new__(self,n_graph,n_x0=None,n_x1=None,n_y0=None,n_y1=None):
"""
__new__(cls: type,n_graph: IGH_Graph)
__new__(cls: type,n_graph: IGH_Graph,n_x0: float,n_x1: float,n_y0: float,n_y1: float)
"""
pass
def __repr__(self,*args):
""" __repr__(self: object) -> str """
pass
Graph=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Graph(self: GH_GraphContainer) -> IGH_Graph
Set: Graph(self: GH_GraphContainer)=value
"""
LockGrips=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: LockGrips(self: GH_GraphContainer) -> bool
Set: LockGrips(self: GH_GraphContainer)=value
"""
Region=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Region(self: GH_GraphContainer) -> RectangleF
Set: Region(self: GH_GraphContainer)=value
"""
X0=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: X0(self: GH_GraphContainer) -> float
Set: X0(self: GH_GraphContainer)=value
"""
X1=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: X1(self: GH_GraphContainer) -> float
Set: X1(self: GH_GraphContainer)=value
"""
Y0=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Y0(self: GH_GraphContainer) -> float
Set: Y0(self: GH_GraphContainer)=value
"""
Y1=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Y1(self: GH_GraphContainer) -> float
Set: Y1(self: GH_GraphContainer)=value
"""
GraphChanged=None
GraphChangedEventHandler=None
m_graphpath=None
class GH_GraphDrawInstruction(Enum,IComparable,IFormattable,IConvertible):
""" enum GH_GraphDrawInstruction,values: none (0),skip (1) """
def __eq__(self,*args):
""" x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """
pass
def __format__(self,*args):
""" __format__(formattable: IFormattable,format: str) -> str """
pass
def __ge__(self,*args):
pass
def __gt__(self,*args):
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __le__(self,*args):
pass
def __lt__(self,*args):
pass
def __ne__(self,*args):
pass
def __reduce_ex__(self,*args):
pass
def __str__(self,*args):
pass
none=None
skip=None
value__=None
class GH_GraphGrip(object):
"""
GH_GraphGrip()
GH_GraphGrip(nX: float,nY: float)
GH_GraphGrip(nX: float,nY: float,nConstraint: GH_GripConstraint)
GH_GraphGrip(nOther: GH_GraphGrip)
"""
def LimitToUnitDomain(self,bLimitX,bLimitY):
""" LimitToUnitDomain(self: GH_GraphGrip,bLimitX: bool,bLimitY: bool) """
pass
def OnGripChanged(self,bIntermediate):
""" OnGripChanged(self: GH_GraphGrip,bIntermediate: bool) """
pass
def SetIndex(self,nIndex):
""" SetIndex(self: GH_GraphGrip,nIndex: int) """
pass
def __eq__(self,*args):
""" x.__eq__(y) <==> x==y """
pass
@staticmethod
def __new__(self,*__args):
"""
__new__(cls: type)
__new__(cls: type,nX: float,nY: float)
__new__(cls: type,nX: float,nY: float,nConstraint: GH_GripConstraint)
__new__(cls: type,nOther: GH_GraphGrip)
"""
pass
def __ne__(self,*args):
pass
Constraint=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Constraint(self: GH_GraphGrip) -> GH_GripConstraint
Set: Constraint(self: GH_GraphGrip)=value
"""
Index=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Index(self: GH_GraphGrip) -> int
"""
Point=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Point(self: GH_GraphGrip) -> PointF
"""
X=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: X(self: GH_GraphGrip) -> float
Set: X(self: GH_GraphGrip)=value
"""
Y=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Y(self: GH_GraphGrip) -> float
Set: Y(self: GH_GraphGrip)=value
"""
GripChanged=None
GripChangedEventHandler=None
m_c=None
m_i=None
m_x=None
m_y=None
class GH_GripConstraint(Enum,IComparable,IFormattable,IConvertible):
""" enum GH_GripConstraint,values: horizontal (1),none (0),vertical (2) """
def __eq__(self,*args):
""" x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """
pass
def __format__(self,*args):
""" __format__(formattable: IFormattable,format: str) -> str """
pass
def __ge__(self,*args):
pass
def __gt__(self,*args):
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __le__(self,*args):
pass
def __lt__(self,*args):
pass
def __ne__(self,*args):
pass
def __reduce_ex__(self,*args):
pass
def __str__(self,*args):
pass
horizontal=None
none=None
value__=None
vertical=None
class GH_LinearGraph(GH_AbstractGraph,IGH_Graph,GH_ISerializable):
""" GH_LinearGraph() """
def AddGrip(self,*args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def ClearGrips(self,*args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def CreateDerivedDuplicate(self,*args):
""" CreateDerivedDuplicate(self: GH_LinearGraph) -> GH_AbstractGraph """
pass
def CreateGrips(self,*args):
""" CreateGrips(self: GH_LinearGraph) """
pass
def Draw_PreRenderGraph(self,g,cnt):
""" Draw_PreRenderGraph(self: GH_LinearGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def EmitProxyObject(self):
""" EmitProxyObject(self: GH_LinearGraph) -> IGH_GraphProxyObject """
pass
def GDI_GraphPath(self,reg):
""" GDI_GraphPath(self: GH_LinearGraph,reg: RectangleF) -> Array[PointF] """
pass
def GHGraphToPointArray(self,*args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def Internal_GripChanged(self,*args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def Read(self,reader):
""" Read(self: GH_LinearGraph,reader: GH_IReader) -> bool """
pass
def SetFromParameters(self,nA,nB):
""" SetFromParameters(self: GH_LinearGraph,nA: float,nB: float) """
pass
def UpdateEquation(self,*args):
""" UpdateEquation(self: GH_LinearGraph) """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_LinearGraph,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_LinearGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
GraphTypeID=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: GraphTypeID(self: GH_LinearGraph) -> Guid
"""
Icon_16x16=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Icon_16x16(self: GH_LinearGraph) -> Image
"""
IsValid=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: IsValid(self: GH_LinearGraph) -> bool
"""
GH_LinearGraphProxy=None
class GH_ParabolaGraph(GH_AbstractGraph,IGH_Graph,GH_ISerializable):
""" GH_ParabolaGraph() """
def AddGrip(self,*args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def ClearGrips(self,*args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def CreateDerivedDuplicate(self,*args):
""" CreateDerivedDuplicate(self: GH_ParabolaGraph) -> GH_AbstractGraph """
pass
def CreateGrips(self,*args):
""" CreateGrips(self: GH_ParabolaGraph) """
pass
def Draw_PreRenderGraph(self,g,cnt):
""" Draw_PreRenderGraph(self: GH_ParabolaGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def GHGraphToPointArray(self,*args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def Internal_GripChanged(self,*args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def Read(self,reader):
""" Read(self: GH_ParabolaGraph,reader: GH_IReader) -> bool """
pass
def UpdateEquation(self,*args):
""" UpdateEquation(self: GH_ParabolaGraph) """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_ParabolaGraph,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_ParabolaGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
GraphTypeID=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: GraphTypeID(self: GH_ParabolaGraph) -> Guid
"""
Icon_16x16=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Icon_16x16(self: GH_ParabolaGraph) -> Image
"""
IsValid=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: IsValid(self: GH_ParabolaGraph) -> bool
"""
class GH_PerlinGraph(GH_AbstractGraph,IGH_Graph,GH_ISerializable):
""" GH_PerlinGraph() """
def AddGrip(self,*args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def ClearGrips(self,*args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def CreateDerivedDuplicate(self,*args):
""" CreateDerivedDuplicate(self: GH_PerlinGraph) -> GH_AbstractGraph """
pass
def CreateGrips(self,*args):
""" CreateGrips(self: GH_PerlinGraph) """
pass
def GHGraphToPointArray(self,*args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def Internal_GripChanged(self,*args):
""" Internal_GripChanged(self: GH_PerlinGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def Interpolate(self,*args):
""" Interpolate(self: GH_PerlinGraph,v0: float,v1: float,v2: float,v3: float,a: float) -> float """
pass
def Noise(self,*args):
""" Noise(self: GH_PerlinGraph,i: int) -> float """
pass
def Read(self,reader):
""" Read(self: GH_PerlinGraph,reader: GH_IReader) -> bool """
pass
def Smooth(self,*args):
""" Smooth(self: GH_PerlinGraph,x: float) -> float """
pass
def UpdateEquation(self,*args):
""" UpdateEquation(self: GH_PerlinGraph) """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_PerlinGraph,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_PerlinGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
GraphTypeID=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: GraphTypeID(self: GH_PerlinGraph) -> Guid
"""
Icon_16x16=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Icon_16x16(self: GH_PerlinGraph) -> Image
"""
IsValid=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: IsValid(self: GH_PerlinGraph) -> bool
"""
amplitude=None
decay=None
frequency=None
x_offset=None
y_offset=None
class GH_PowerGraph(GH_AbstractGraph,IGH_Graph,GH_ISerializable):
""" GH_PowerGraph() """
def AddGrip(self,*args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def ClearGrips(self,*args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def CreateDerivedDuplicate(self,*args):
""" CreateDerivedDuplicate(self: GH_PowerGraph) -> GH_AbstractGraph """
pass
def CreateGrips(self,*args):
""" CreateGrips(self: GH_PowerGraph) """
pass
def GHGraphToPointArray(self,*args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def Internal_GripChanged(self,*args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def Read(self,reader):
""" Read(self: GH_PowerGraph,reader: GH_IReader) -> bool """
pass
def UpdateEquation(self,*args):
""" UpdateEquation(self: GH_PowerGraph) """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_PowerGraph,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_PowerGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
GraphTypeID=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: GraphTypeID(self: GH_PowerGraph) -> Guid
"""
Icon_16x16=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Icon_16x16(self: GH_PowerGraph) -> Image
"""
IsValid=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: IsValid(self: GH_PowerGraph) -> bool
"""
class GH_SincGraph(GH_AbstractGraph,IGH_Graph,GH_ISerializable):
""" GH_SincGraph() """
def AddGrip(self,*args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def ClearGrips(self,*args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def CreateDerivedDuplicate(self,*args):
""" CreateDerivedDuplicate(self: GH_SincGraph) -> GH_AbstractGraph """
pass
def CreateGrips(self,*args):
""" CreateGrips(self: GH_SincGraph) """
pass
def GDI_GraphPath(self,reg):
""" GDI_GraphPath(self: GH_SincGraph,reg: RectangleF) -> Array[PointF] """
pass
def GHGraphToPointArray(self,*args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def Internal_GripChanged(self,*args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def Read(self,reader):
""" Read(self: GH_SincGraph,reader: GH_IReader) -> bool """
pass
def UpdateEquation(self,*args):
""" UpdateEquation(self: GH_SincGraph) """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_SincGraph,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_SincGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
GraphTypeID=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: GraphTypeID(self: GH_SincGraph) -> Guid
"""
Icon_16x16=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Icon_16x16(self: GH_SincGraph) -> Image
"""
IsValid=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: IsValid(self: GH_SincGraph) -> bool
"""
amplitude=None
frequency=None
X0=None
X1=None
x_shift=None
Y0=None
Y1=None
y_shift=None
class GH_SineEquation(object,GH_ISerializable):
""" GH_SineEquation() """
def Read(self,reader):
""" Read(self: GH_SineEquation,reader: GH_IReader) -> bool """
pass
def SetEquationFromGrips(self):
""" SetEquationFromGrips(self: GH_SineEquation) """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_SineEquation,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_SineEquation,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __repr__(self,*args):
""" __repr__(self: object) -> str """
pass
amplitude=None
frequency=None
offset=None
shift=None
X0=None
X1=None
Y0=None
Y1=None
class GH_SineGraph(GH_AbstractGraph,IGH_Graph,GH_ISerializable):
""" GH_SineGraph() """
def AddGrip(self,*args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def ClearGrips(self,*args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def CreateDerivedDuplicate(self,*args):
""" CreateDerivedDuplicate(self: GH_SineGraph) -> GH_AbstractGraph """
pass
def CreateGrips(self,*args):
""" CreateGrips(self: GH_SineGraph) """
pass
def GDI_GraphPath(self,reg):
""" GDI_GraphPath(self: GH_SineGraph,reg: RectangleF) -> Array[PointF] """
pass
def GHGraphToPointArray(self,*args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def Internal_GripChanged(self,*args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def Read(self,reader):
""" Read(self: GH_SineGraph,reader: GH_IReader) -> bool """
pass
def UpdateEquation(self,*args):
""" UpdateEquation(self: GH_SineGraph) """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_SineGraph,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_SineGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
GraphTypeID=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: GraphTypeID(self: GH_SineGraph) -> Guid
"""
Icon_16x16=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Icon_16x16(self: GH_SineGraph) -> Image
"""
IsValid=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: IsValid(self: GH_SineGraph) -> bool
"""
m_eq=None
class GH_SquareRootGraph(GH_AbstractGraph,IGH_Graph,GH_ISerializable):
""" GH_SquareRootGraph() """
def AddGrip(self,*args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def ClearGrips(self,*args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def CreateDerivedDuplicate(self,*args):
""" CreateDerivedDuplicate(self: GH_SquareRootGraph) -> GH_AbstractGraph """
pass
def CreateGrips(self,*args):
""" CreateGrips(self: GH_SquareRootGraph) """
pass
def Draw_PreRenderGraph(self,g,cnt):
""" Draw_PreRenderGraph(self: GH_SquareRootGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def GHGraphToPointArray(self,*args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def Internal_GripChanged(self,*args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def Read(self,reader):
""" Read(self: GH_SquareRootGraph,reader: GH_IReader) -> bool """
pass
def UpdateEquation(self,*args):
""" UpdateEquation(self: GH_SquareRootGraph) """
pass
def ValueAt(self,t):
""" ValueAt(self: GH_SquareRootGraph,t: float) -> float """
pass
def Write(self,writer):
""" Write(self: GH_SquareRootGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
GraphTypeID=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: GraphTypeID(self: GH_SquareRootGraph) -> Guid
"""
Icon_16x16=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Icon_16x16(self: GH_SquareRootGraph) -> Image
"""
IsValid=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: IsValid(self: GH_SquareRootGraph) -> bool
"""
class IGH_Graph(GH_ISerializable):
# no doc
def ClearCaches(self):
""" ClearCaches(self: IGH_Graph) """
pass
def Draw_PostRenderGraph(self,g,cnt):
""" Draw_PostRenderGraph(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer) """
pass
def Draw_PostRenderGrid(self,g,cnt):
""" Draw_PostRenderGrid(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer) """
pass
def Draw_PostRenderGrip(self,g,cnt,index):
""" Draw_PostRenderGrip(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer,index: int) """
pass
def Draw_PostRenderTags(self,g,cnt):
""" Draw_PostRenderTags(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer) """
pass
def Draw_PreRenderGraph(self,g,cnt):
""" Draw_PreRenderGraph(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def Draw_PreRenderGrid(self,g,cnt):
""" Draw_PreRenderGrid(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def Draw_PreRenderGrip(self,g,cnt,index):
""" Draw_PreRenderGrip(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer,index: int) -> GH_GraphDrawInstruction """
pass
def Draw_PreRenderTags(self,g,cnt):
""" Draw_PreRenderTags(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def Duplicate(self):
""" Duplicate(self: IGH_Graph) -> IGH_Graph """
pass
def EmitProxyObject(self):
""" EmitProxyObject(self: IGH_Graph) -> IGH_GraphProxyObject """
pass
def GDI_GraphPath(self,reg):
""" GDI_GraphPath(self: IGH_Graph,reg: RectangleF) -> Array[PointF] """
pass
def OnGraphChanged(self,bIntermediate):
""" OnGraphChanged(self: IGH_Graph,bIntermediate: bool) """
pass
def PrepareForUse(self):
""" PrepareForUse(self: IGH_Graph) """
pass
def ValueAt(self,t):
""" ValueAt(self: IGH_Graph,t: float) -> float """
pass
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
Description=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Description(self: IGH_Graph) -> str
"""
GraphTypeID=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: GraphTypeID(self: IGH_Graph) -> Guid
"""
Grips=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Grips(self: IGH_Graph) -> List[GH_GraphGrip]
"""
Icon_16x16=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Icon_16x16(self: IGH_Graph) -> Image
"""
IsValid=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: IsValid(self: IGH_Graph) -> bool
"""
Name=property(lambda self: object(),lambda self,v: None,lambda self: None)
"""Get: Name(self: IGH_Graph) -> str
"""
GraphChanged=None
GraphChangedEventHandler=None
class IGH_GraphProxyObject:
# no doc
def __init__(self,*args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
|
""" NamespaceTracker represent a CLS namespace. """
def gh__graph_proxy_object(n_owner):
""" GH_GraphProxyObject(n_owner: IGH_Graph) """
pass
class Gh_Abstractgraph(object, IGH_Graph, GH_ISerializable):
def add_grip(self, *args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def clear_caches(self):
""" ClearCaches(self: GH_AbstractGraph) """
pass
def clear_grips(self, *args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def create_derived_duplicate(self, *args):
""" CreateDerivedDuplicate(self: GH_AbstractGraph) -> GH_AbstractGraph """
pass
def create_grips(self, *args):
""" CreateGrips(self: GH_AbstractGraph) """
pass
def curve_to_point_f_array(self, *args):
""" CurveToPointFArray(Crv: Curve,dest: RectangleF) -> Array[PointF] """
pass
def draw__post_render_graph(self, g, cnt):
""" Draw_PostRenderGraph(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer) """
pass
def draw__post_render_grid(self, g, cnt):
""" Draw_PostRenderGrid(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer) """
pass
def draw__post_render_grip(self, g, cnt, index):
""" Draw_PostRenderGrip(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer,index: int) """
pass
def draw__post_render_tags(self, g, cnt):
""" Draw_PostRenderTags(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer) """
pass
def draw__pre_render_graph(self, g, cnt):
""" Draw_PreRenderGraph(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def draw__pre_render_grid(self, g, cnt):
""" Draw_PreRenderGrid(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def draw__pre_render_grip(self, g, cnt, index):
""" Draw_PreRenderGrip(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer,index: int) -> GH_GraphDrawInstruction """
pass
def draw__pre_render_tags(self, g, cnt):
""" Draw_PreRenderTags(self: GH_AbstractGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def duplicate(self):
""" Duplicate(self: GH_AbstractGraph) -> IGH_Graph """
pass
def emit_proxy_object(self):
""" EmitProxyObject(self: GH_AbstractGraph) -> IGH_GraphProxyObject """
pass
def gdi__graph_path(self, reg):
""" GDI_GraphPath(self: GH_AbstractGraph,reg: RectangleF) -> Array[PointF] """
pass
def gh_graph_to_point_array(self, *args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def internal__grip_changed(self, *args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def intersection_evaluate(self, *args):
""" IntersectionEvaluate(C: Curve,offset: float) -> float """
pass
def on_graph_changed(self, bIntermediate):
""" OnGraphChanged(self: GH_AbstractGraph,bIntermediate: bool) """
pass
def prepare_for_use(self):
""" PrepareForUse(self: GH_AbstractGraph) """
pass
def read(self, reader):
""" Read(self: GH_AbstractGraph,reader: GH_IReader) -> bool """
pass
def update_equation(self, *args):
""" UpdateEquation(self: GH_AbstractGraph) """
pass
def value_at(self, t):
""" ValueAt(self: GH_AbstractGraph,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_AbstractGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
@staticmethod
def __new__(self, *args):
""" __new__(cls: type,nName: str,nDescription: str) """
pass
def __repr__(self, *args):
""" __repr__(self: object) -> str """
pass
description = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Description(self: GH_AbstractGraph) -> str\n\n\n\n'
graph_type_id = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: GraphTypeID(self: GH_AbstractGraph) -> Guid\n\n\n\n'
grips = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Grips(self: GH_AbstractGraph) -> List[GH_GraphGrip]\n\n\n\n'
icon_16x16 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Icon_16x16(self: GH_AbstractGraph) -> Image\n\n\n\n'
is_valid = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: IsValid(self: GH_AbstractGraph) -> bool\n\n\n\n'
name = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Name(self: GH_AbstractGraph) -> str\n\n\n\n'
gh__evaluator = None
graph_changed = None
class Gh_Beziergraph(GH_AbstractGraph, IGH_Graph, GH_ISerializable):
""" GH_BezierGraph() """
def add_grip(self, *args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def clear_caches(self):
""" ClearCaches(self: GH_BezierGraph) """
pass
def clear_grips(self, *args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def create_derived_duplicate(self, *args):
""" CreateDerivedDuplicate(self: GH_BezierGraph) -> GH_AbstractGraph """
pass
def create_grips(self, *args):
""" CreateGrips(self: GH_BezierGraph) """
pass
def curve(self, *args):
""" Curve(self: GH_BezierGraph) -> Curve """
pass
def draw__pre_render_grip(self, g, cnt, index):
""" Draw_PreRenderGrip(self: GH_BezierGraph,g: Graphics,cnt: GH_GraphContainer,index: int) -> GH_GraphDrawInstruction """
pass
def gdi__graph_path(self, reg):
""" GDI_GraphPath(self: GH_BezierGraph,reg: RectangleF) -> Array[PointF] """
pass
def gh_graph_to_point_array(self, *args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def internal__grip_changed(self, *args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def read(self, reader):
""" Read(self: GH_BezierGraph,reader: GH_IReader) -> bool """
pass
def update_equation(self, *args):
""" UpdateEquation(self: GH_BezierGraph) """
pass
def value_at(self, t):
""" ValueAt(self: GH_BezierGraph,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_BezierGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
graph_type_id = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: GraphTypeID(self: GH_BezierGraph) -> Guid\n\n\n\n'
icon_16x16 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Icon_16x16(self: GH_BezierGraph) -> Image\n\n\n\n'
is_valid = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: IsValid(self: GH_BezierGraph) -> bool\n\n\n\n'
class Gh_Conicgraph(GH_AbstractGraph, IGH_Graph, GH_ISerializable):
""" GH_ConicGraph() """
def add_grip(self, *args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def clear_grips(self, *args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def create_derived_duplicate(self, *args):
""" CreateDerivedDuplicate(self: GH_ConicGraph) -> GH_AbstractGraph """
pass
def create_grips(self, *args):
""" CreateGrips(self: GH_ConicGraph) """
pass
def curve(self, *args):
""" Curve(self: GH_ConicGraph) -> NurbsCurve """
pass
def destroy_curve(self, *args):
""" DestroyCurve(self: GH_ConicGraph) """
pass
def fit_conic(self, *args):
""" FitConic(self: GH_ConicGraph,S: Point3d) -> NurbsCurve """
pass
def gdi__graph_path(self, reg):
""" GDI_GraphPath(self: GH_ConicGraph,reg: RectangleF) -> Array[PointF] """
pass
def gh_graph_to_point_array(self, *args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def internal__grip_changed(self, *args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def make_conic(self, *args):
""" MakeConic(self: GH_ConicGraph,w: float) -> NurbsCurve """
pass
def read(self, reader):
""" Read(self: GH_ConicGraph,reader: GH_IReader) -> bool """
pass
def update_equation(self, *args):
""" UpdateEquation(self: GH_ConicGraph) """
pass
def value_at(self, t):
""" ValueAt(self: GH_ConicGraph,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_ConicGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
graph_type_id = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: GraphTypeID(self: GH_ConicGraph) -> Guid\n\n\n\n'
icon_16x16 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Icon_16x16(self: GH_ConicGraph) -> Image\n\n\n\n'
is_valid = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: IsValid(self: GH_ConicGraph) -> bool\n\n\n\n'
class Gh_Doublesinegraph(GH_AbstractGraph, IGH_Graph, GH_ISerializable):
""" GH_DoubleSineGraph() """
def add_grip(self, *args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def clear_caches(self):
""" ClearCaches(self: GH_DoubleSineGraph) """
pass
def clear_grips(self, *args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def create_derived_duplicate(self, *args):
""" CreateDerivedDuplicate(self: GH_DoubleSineGraph) -> GH_AbstractGraph """
pass
def create_grips(self, *args):
""" CreateGrips(self: GH_DoubleSineGraph) """
pass
def draw__pre_render_graph(self, g, cnt):
""" Draw_PreRenderGraph(self: GH_DoubleSineGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def draw__pre_render_grip(self, g, cnt, index):
""" Draw_PreRenderGrip(self: GH_DoubleSineGraph,g: Graphics,cnt: GH_GraphContainer,index: int) -> GH_GraphDrawInstruction """
pass
def gdi__graph_path(self, reg):
""" GDI_GraphPath(self: GH_DoubleSineGraph,reg: RectangleF) -> Array[PointF] """
pass
def gh_graph_to_point_array(self, *args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def graph_accuracy(self, *args):
""" GraphAccuracy(self: GH_DoubleSineGraph,reg: RectangleF) -> float """
pass
def internal__grip_changed(self, *args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def read(self, reader):
""" Read(self: GH_DoubleSineGraph,reader: GH_IReader) -> bool """
pass
def rec_from_points(self, *args):
""" RecFromPoints(self: GH_DoubleSineGraph,a: PointF,b: PointF) -> Rectangle """
pass
def update_equation(self, *args):
""" UpdateEquation(self: GH_DoubleSineGraph) """
pass
def value_at(self, t):
""" ValueAt(self: GH_DoubleSineGraph,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_DoubleSineGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
graph_type_id = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: GraphTypeID(self: GH_DoubleSineGraph) -> Guid\n\n\n\n'
icon_16x16 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Icon_16x16(self: GH_DoubleSineGraph) -> Image\n\n\n\n'
is_valid = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: IsValid(self: GH_DoubleSineGraph) -> bool\n\n\n\n'
m_eq0 = None
m_eq1 = None
m_path0 = None
m_path1 = None
class Gh_Gaussiangraph(GH_AbstractGraph, IGH_Graph, GH_ISerializable):
""" GH_GaussianGraph() """
def add_grip(self, *args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def clear_grips(self, *args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def create_derived_duplicate(self, *args):
""" CreateDerivedDuplicate(self: GH_GaussianGraph) -> GH_AbstractGraph """
pass
def create_grips(self, *args):
""" CreateGrips(self: GH_GaussianGraph) """
pass
def gh_graph_to_point_array(self, *args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def internal__grip_changed(self, *args):
""" Internal_GripChanged(self: GH_GaussianGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def read(self, reader):
""" Read(self: GH_GaussianGraph,reader: GH_IReader) -> bool """
pass
def update_equation(self, *args):
""" UpdateEquation(self: GH_GaussianGraph) """
pass
def value_at(self, t):
""" ValueAt(self: GH_GaussianGraph,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_GaussianGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
graph_type_id = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: GraphTypeID(self: GH_GaussianGraph) -> Guid\n\n\n\n'
icon_16x16 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Icon_16x16(self: GH_GaussianGraph) -> Image\n\n\n\n'
is_valid = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: IsValid(self: GH_GaussianGraph) -> bool\n\n\n\n'
class Gh_Graphcontainer(object, GH_ISerializable, IGH_ResponsiveObject):
"""
GH_GraphContainer(n_graph: IGH_Graph)
GH_GraphContainer(n_graph: IGH_Graph,n_x0: float,n_x1: float,n_y0: float,n_y1: float)
"""
def clear_caches(self):
""" ClearCaches(self: GH_GraphContainer) """
pass
def duplicate(self):
""" Duplicate(self: GH_GraphContainer) -> GH_GraphContainer """
pass
def from_x(self, t):
""" FromX(self: GH_GraphContainer,t: float) -> float """
pass
def from_y(self, t):
""" FromY(self: GH_GraphContainer,t: float) -> float """
pass
def internal__render__graph(self, *args):
""" Internal_Render_Graph(self: GH_GraphContainer,G: Graphics) """
pass
def internal__render__grip(self, *args):
""" Internal_Render_Grip(self: GH_GraphContainer,g: Graphics,x: int,y: int) """
pass
def internal__render__grips(self, *args):
""" Internal_Render_Grips(self: GH_GraphContainer,G: Graphics) """
pass
def internal__render__horizontal_constraint(self, *args):
""" Internal_Render_HorizontalConstraint(self: GH_GraphContainer,g: Graphics,y: int) """
pass
def internal__render__invalid_icon(self, *args):
""" Internal_Render_InvalidIcon(self: GH_GraphContainer,g: Graphics) """
pass
def internal__render__locked_icon(self, *args):
""" Internal_Render_LockedIcon(self: GH_GraphContainer,g: Graphics) """
pass
def internal__render__tag_gdi_objects(self, *args):
""" Internal_Render_TagGDIObjects(self: GH_GraphContainer,zoom: Single,bg_brush: SolidBrush,fg_brush: SolidBrush,fg_pen: Pen) -> (SolidBrush,SolidBrush,Pen) """
pass
def internal__render__tag_x(self, *args):
""" Internal_Render_TagX(self: GH_GraphContainer,g: Graphics,graphrec: RectangleF,r_a: float,r_b: float) """
pass
def internal__render__tag_y(self, *args):
""" Internal_Render_TagY(self: GH_GraphContainer,g: Graphics,graphrec: RectangleF,r_a: float,r_b: float) """
pass
def internal__render__text_tag(self, *args):
""" Internal_Render_TextTag(self: GH_GraphContainer,g: Graphics,graphrec: RectangleF,lowerright: bool,tag: str) """
pass
def internal__render__vertical_constraint(self, *args):
""" Internal_Render_VerticalConstraint(self: GH_GraphContainer,g: Graphics,x: int) """
pass
def nearest_grip(self, *args):
""" NearestGrip(self: GH_GraphContainer,pt: PointF,max_search: float) -> int """
pass
def on_graph_changed(self, bIntermediate):
""" OnGraphChanged(self: GH_GraphContainer,bIntermediate: bool) """
pass
def prepare_for_use(self):
""" PrepareForUse(self: GH_GraphContainer) """
pass
def read(self, reader):
""" Read(self: GH_GraphContainer,reader: GH_IReader) -> bool """
pass
def remap_points_to_graph_region(self, pts):
""" RemapPointsToGraphRegion(self: GH_GraphContainer,pts: Array[PointF]) """
pass
def render(self, G, bIncludeDomainTags, samples):
""" Render(self: GH_GraphContainer,G: Graphics,bIncludeDomainTags: bool,samples: List[float]) """
pass
@staticmethod
def render__graph_background(G, region, bActive):
""" Render_GraphBackground(G: Graphics,region: RectangleF,bActive: bool) """
pass
@staticmethod
def render__graph_grid(G, region):
""" Render_GraphGrid(G: Graphics,region: RectangleF) """
pass
@staticmethod
def render__graph_pen():
""" Render_GraphPen() -> Pen """
pass
@staticmethod
def render__guide_pen():
""" Render_GuidePen() -> Pen """
pass
@staticmethod
def render__horizontal_constraint(g, rec, t):
""" Render_HorizontalConstraint(g: Graphics,rec: RectangleF,t: float) """
pass
@staticmethod
def render__vertical_constraint(g, rec, t):
""" Render_VerticalConstraint(g: Graphics,rec: RectangleF,t: float) """
pass
def respond_to_key_down(self, sender, e):
""" RespondToKeyDown(self: GH_GraphContainer,sender: GH_Canvas,e: KeyEventArgs) -> GH_ObjectResponse """
pass
def respond_to_key_up(self, sender, e):
""" RespondToKeyUp(self: GH_GraphContainer,sender: GH_Canvas,e: KeyEventArgs) -> GH_ObjectResponse """
pass
def respond_to_mouse_double_click(self, sender, e):
""" RespondToMouseDoubleClick(self: GH_GraphContainer,sender: GH_Canvas,e: GH_CanvasMouseEvent) -> GH_ObjectResponse """
pass
def respond_to_mouse_down(self, sender, e):
""" RespondToMouseDown(self: GH_GraphContainer,sender: GH_Canvas,e: GH_CanvasMouseEvent) -> GH_ObjectResponse """
pass
def respond_to_mouse_move(self, sender, e):
""" RespondToMouseMove(self: GH_GraphContainer,sender: GH_Canvas,e: GH_CanvasMouseEvent) -> GH_ObjectResponse """
pass
def respond_to_mouse_up(self, sender, e):
""" RespondToMouseUp(self: GH_GraphContainer,sender: GH_Canvas,e: GH_CanvasMouseEvent) -> GH_ObjectResponse """
pass
def solve_graph_path(self, *args):
""" SolveGraphPath(self: GH_GraphContainer) -> GraphicsPath """
pass
def to_region_box(self, pt):
""" ToRegionBox(self: GH_GraphContainer,pt: PointF) -> PointF """
pass
def to_region_box_x(self, x):
""" ToRegionBox_x(self: GH_GraphContainer,x: float) -> Single """
pass
def to_region_box_y(self, y):
""" ToRegionBox_y(self: GH_GraphContainer,y: float) -> Single """
pass
def to_unit_box(self, pt):
""" ToUnitBox(self: GH_GraphContainer,pt: PointF) -> PointF """
pass
def to_x(self, t_unit):
""" ToX(self: GH_GraphContainer,t_unit: float) -> float """
pass
def to_y(self, t_unit):
""" ToY(self: GH_GraphContainer,t_unit: float) -> float """
pass
def try_value_at(self, t):
""" TryValueAt(self: GH_GraphContainer,t: float) -> float """
pass
def value_at(self, t):
""" ValueAt(self: GH_GraphContainer,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_GraphContainer,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
@staticmethod
def __new__(self, n_graph, n_x0=None, n_x1=None, n_y0=None, n_y1=None):
"""
__new__(cls: type,n_graph: IGH_Graph)
__new__(cls: type,n_graph: IGH_Graph,n_x0: float,n_x1: float,n_y0: float,n_y1: float)
"""
pass
def __repr__(self, *args):
""" __repr__(self: object) -> str """
pass
graph = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Graph(self: GH_GraphContainer) -> IGH_Graph\n\n\n\nSet: Graph(self: GH_GraphContainer)=value\n\n'
lock_grips = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: LockGrips(self: GH_GraphContainer) -> bool\n\n\n\nSet: LockGrips(self: GH_GraphContainer)=value\n\n'
region = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Region(self: GH_GraphContainer) -> RectangleF\n\n\n\nSet: Region(self: GH_GraphContainer)=value\n\n'
x0 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: X0(self: GH_GraphContainer) -> float\n\n\n\nSet: X0(self: GH_GraphContainer)=value\n\n'
x1 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: X1(self: GH_GraphContainer) -> float\n\n\n\nSet: X1(self: GH_GraphContainer)=value\n\n'
y0 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Y0(self: GH_GraphContainer) -> float\n\n\n\nSet: Y0(self: GH_GraphContainer)=value\n\n'
y1 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Y1(self: GH_GraphContainer) -> float\n\n\n\nSet: Y1(self: GH_GraphContainer)=value\n\n'
graph_changed = None
graph_changed_event_handler = None
m_graphpath = None
class Gh_Graphdrawinstruction(Enum, IComparable, IFormattable, IConvertible):
""" enum GH_GraphDrawInstruction,values: none (0),skip (1) """
def __eq__(self, *args):
""" x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """
pass
def __format__(self, *args):
""" __format__(formattable: IFormattable,format: str) -> str """
pass
def __ge__(self, *args):
pass
def __gt__(self, *args):
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __le__(self, *args):
pass
def __lt__(self, *args):
pass
def __ne__(self, *args):
pass
def __reduce_ex__(self, *args):
pass
def __str__(self, *args):
pass
none = None
skip = None
value__ = None
class Gh_Graphgrip(object):
"""
GH_GraphGrip()
GH_GraphGrip(nX: float,nY: float)
GH_GraphGrip(nX: float,nY: float,nConstraint: GH_GripConstraint)
GH_GraphGrip(nOther: GH_GraphGrip)
"""
def limit_to_unit_domain(self, bLimitX, bLimitY):
""" LimitToUnitDomain(self: GH_GraphGrip,bLimitX: bool,bLimitY: bool) """
pass
def on_grip_changed(self, bIntermediate):
""" OnGripChanged(self: GH_GraphGrip,bIntermediate: bool) """
pass
def set_index(self, nIndex):
""" SetIndex(self: GH_GraphGrip,nIndex: int) """
pass
def __eq__(self, *args):
""" x.__eq__(y) <==> x==y """
pass
@staticmethod
def __new__(self, *__args):
"""
__new__(cls: type)
__new__(cls: type,nX: float,nY: float)
__new__(cls: type,nX: float,nY: float,nConstraint: GH_GripConstraint)
__new__(cls: type,nOther: GH_GraphGrip)
"""
pass
def __ne__(self, *args):
pass
constraint = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Constraint(self: GH_GraphGrip) -> GH_GripConstraint\n\n\n\nSet: Constraint(self: GH_GraphGrip)=value\n\n'
index = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Index(self: GH_GraphGrip) -> int\n\n\n\n'
point = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Point(self: GH_GraphGrip) -> PointF\n\n\n\n'
x = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: X(self: GH_GraphGrip) -> float\n\n\n\nSet: X(self: GH_GraphGrip)=value\n\n'
y = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Y(self: GH_GraphGrip) -> float\n\n\n\nSet: Y(self: GH_GraphGrip)=value\n\n'
grip_changed = None
grip_changed_event_handler = None
m_c = None
m_i = None
m_x = None
m_y = None
class Gh_Gripconstraint(Enum, IComparable, IFormattable, IConvertible):
""" enum GH_GripConstraint,values: horizontal (1),none (0),vertical (2) """
def __eq__(self, *args):
""" x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """
pass
def __format__(self, *args):
""" __format__(formattable: IFormattable,format: str) -> str """
pass
def __ge__(self, *args):
pass
def __gt__(self, *args):
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __le__(self, *args):
pass
def __lt__(self, *args):
pass
def __ne__(self, *args):
pass
def __reduce_ex__(self, *args):
pass
def __str__(self, *args):
pass
horizontal = None
none = None
value__ = None
vertical = None
class Gh_Lineargraph(GH_AbstractGraph, IGH_Graph, GH_ISerializable):
""" GH_LinearGraph() """
def add_grip(self, *args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def clear_grips(self, *args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def create_derived_duplicate(self, *args):
""" CreateDerivedDuplicate(self: GH_LinearGraph) -> GH_AbstractGraph """
pass
def create_grips(self, *args):
""" CreateGrips(self: GH_LinearGraph) """
pass
def draw__pre_render_graph(self, g, cnt):
""" Draw_PreRenderGraph(self: GH_LinearGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def emit_proxy_object(self):
""" EmitProxyObject(self: GH_LinearGraph) -> IGH_GraphProxyObject """
pass
def gdi__graph_path(self, reg):
""" GDI_GraphPath(self: GH_LinearGraph,reg: RectangleF) -> Array[PointF] """
pass
def gh_graph_to_point_array(self, *args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def internal__grip_changed(self, *args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def read(self, reader):
""" Read(self: GH_LinearGraph,reader: GH_IReader) -> bool """
pass
def set_from_parameters(self, nA, nB):
""" SetFromParameters(self: GH_LinearGraph,nA: float,nB: float) """
pass
def update_equation(self, *args):
""" UpdateEquation(self: GH_LinearGraph) """
pass
def value_at(self, t):
""" ValueAt(self: GH_LinearGraph,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_LinearGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
graph_type_id = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: GraphTypeID(self: GH_LinearGraph) -> Guid\n\n\n\n'
icon_16x16 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Icon_16x16(self: GH_LinearGraph) -> Image\n\n\n\n'
is_valid = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: IsValid(self: GH_LinearGraph) -> bool\n\n\n\n'
gh__linear_graph_proxy = None
class Gh_Parabolagraph(GH_AbstractGraph, IGH_Graph, GH_ISerializable):
""" GH_ParabolaGraph() """
def add_grip(self, *args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def clear_grips(self, *args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def create_derived_duplicate(self, *args):
""" CreateDerivedDuplicate(self: GH_ParabolaGraph) -> GH_AbstractGraph """
pass
def create_grips(self, *args):
""" CreateGrips(self: GH_ParabolaGraph) """
pass
def draw__pre_render_graph(self, g, cnt):
""" Draw_PreRenderGraph(self: GH_ParabolaGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def gh_graph_to_point_array(self, *args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def internal__grip_changed(self, *args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def read(self, reader):
""" Read(self: GH_ParabolaGraph,reader: GH_IReader) -> bool """
pass
def update_equation(self, *args):
""" UpdateEquation(self: GH_ParabolaGraph) """
pass
def value_at(self, t):
""" ValueAt(self: GH_ParabolaGraph,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_ParabolaGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
graph_type_id = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: GraphTypeID(self: GH_ParabolaGraph) -> Guid\n\n\n\n'
icon_16x16 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Icon_16x16(self: GH_ParabolaGraph) -> Image\n\n\n\n'
is_valid = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: IsValid(self: GH_ParabolaGraph) -> bool\n\n\n\n'
class Gh_Perlingraph(GH_AbstractGraph, IGH_Graph, GH_ISerializable):
""" GH_PerlinGraph() """
def add_grip(self, *args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def clear_grips(self, *args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def create_derived_duplicate(self, *args):
""" CreateDerivedDuplicate(self: GH_PerlinGraph) -> GH_AbstractGraph """
pass
def create_grips(self, *args):
""" CreateGrips(self: GH_PerlinGraph) """
pass
def gh_graph_to_point_array(self, *args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def internal__grip_changed(self, *args):
""" Internal_GripChanged(self: GH_PerlinGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def interpolate(self, *args):
""" Interpolate(self: GH_PerlinGraph,v0: float,v1: float,v2: float,v3: float,a: float) -> float """
pass
def noise(self, *args):
""" Noise(self: GH_PerlinGraph,i: int) -> float """
pass
def read(self, reader):
""" Read(self: GH_PerlinGraph,reader: GH_IReader) -> bool """
pass
def smooth(self, *args):
""" Smooth(self: GH_PerlinGraph,x: float) -> float """
pass
def update_equation(self, *args):
""" UpdateEquation(self: GH_PerlinGraph) """
pass
def value_at(self, t):
""" ValueAt(self: GH_PerlinGraph,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_PerlinGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
graph_type_id = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: GraphTypeID(self: GH_PerlinGraph) -> Guid\n\n\n\n'
icon_16x16 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Icon_16x16(self: GH_PerlinGraph) -> Image\n\n\n\n'
is_valid = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: IsValid(self: GH_PerlinGraph) -> bool\n\n\n\n'
amplitude = None
decay = None
frequency = None
x_offset = None
y_offset = None
class Gh_Powergraph(GH_AbstractGraph, IGH_Graph, GH_ISerializable):
""" GH_PowerGraph() """
def add_grip(self, *args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def clear_grips(self, *args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def create_derived_duplicate(self, *args):
""" CreateDerivedDuplicate(self: GH_PowerGraph) -> GH_AbstractGraph """
pass
def create_grips(self, *args):
""" CreateGrips(self: GH_PowerGraph) """
pass
def gh_graph_to_point_array(self, *args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def internal__grip_changed(self, *args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def read(self, reader):
""" Read(self: GH_PowerGraph,reader: GH_IReader) -> bool """
pass
def update_equation(self, *args):
""" UpdateEquation(self: GH_PowerGraph) """
pass
def value_at(self, t):
""" ValueAt(self: GH_PowerGraph,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_PowerGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
graph_type_id = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: GraphTypeID(self: GH_PowerGraph) -> Guid\n\n\n\n'
icon_16x16 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Icon_16x16(self: GH_PowerGraph) -> Image\n\n\n\n'
is_valid = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: IsValid(self: GH_PowerGraph) -> bool\n\n\n\n'
class Gh_Sincgraph(GH_AbstractGraph, IGH_Graph, GH_ISerializable):
""" GH_SincGraph() """
def add_grip(self, *args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def clear_grips(self, *args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def create_derived_duplicate(self, *args):
""" CreateDerivedDuplicate(self: GH_SincGraph) -> GH_AbstractGraph """
pass
def create_grips(self, *args):
""" CreateGrips(self: GH_SincGraph) """
pass
def gdi__graph_path(self, reg):
""" GDI_GraphPath(self: GH_SincGraph,reg: RectangleF) -> Array[PointF] """
pass
def gh_graph_to_point_array(self, *args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def internal__grip_changed(self, *args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def read(self, reader):
""" Read(self: GH_SincGraph,reader: GH_IReader) -> bool """
pass
def update_equation(self, *args):
""" UpdateEquation(self: GH_SincGraph) """
pass
def value_at(self, t):
""" ValueAt(self: GH_SincGraph,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_SincGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
graph_type_id = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: GraphTypeID(self: GH_SincGraph) -> Guid\n\n\n\n'
icon_16x16 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Icon_16x16(self: GH_SincGraph) -> Image\n\n\n\n'
is_valid = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: IsValid(self: GH_SincGraph) -> bool\n\n\n\n'
amplitude = None
frequency = None
x0 = None
x1 = None
x_shift = None
y0 = None
y1 = None
y_shift = None
class Gh_Sineequation(object, GH_ISerializable):
""" GH_SineEquation() """
def read(self, reader):
""" Read(self: GH_SineEquation,reader: GH_IReader) -> bool """
pass
def set_equation_from_grips(self):
""" SetEquationFromGrips(self: GH_SineEquation) """
pass
def value_at(self, t):
""" ValueAt(self: GH_SineEquation,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_SineEquation,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __repr__(self, *args):
""" __repr__(self: object) -> str """
pass
amplitude = None
frequency = None
offset = None
shift = None
x0 = None
x1 = None
y0 = None
y1 = None
class Gh_Sinegraph(GH_AbstractGraph, IGH_Graph, GH_ISerializable):
""" GH_SineGraph() """
def add_grip(self, *args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def clear_grips(self, *args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def create_derived_duplicate(self, *args):
""" CreateDerivedDuplicate(self: GH_SineGraph) -> GH_AbstractGraph """
pass
def create_grips(self, *args):
""" CreateGrips(self: GH_SineGraph) """
pass
def gdi__graph_path(self, reg):
""" GDI_GraphPath(self: GH_SineGraph,reg: RectangleF) -> Array[PointF] """
pass
def gh_graph_to_point_array(self, *args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def internal__grip_changed(self, *args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def read(self, reader):
""" Read(self: GH_SineGraph,reader: GH_IReader) -> bool """
pass
def update_equation(self, *args):
""" UpdateEquation(self: GH_SineGraph) """
pass
def value_at(self, t):
""" ValueAt(self: GH_SineGraph,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_SineGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
graph_type_id = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: GraphTypeID(self: GH_SineGraph) -> Guid\n\n\n\n'
icon_16x16 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Icon_16x16(self: GH_SineGraph) -> Image\n\n\n\n'
is_valid = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: IsValid(self: GH_SineGraph) -> bool\n\n\n\n'
m_eq = None
class Gh_Squarerootgraph(GH_AbstractGraph, IGH_Graph, GH_ISerializable):
""" GH_SquareRootGraph() """
def add_grip(self, *args):
""" AddGrip(self: GH_AbstractGraph,Grip: GH_GraphGrip) """
pass
def clear_grips(self, *args):
""" ClearGrips(self: GH_AbstractGraph) """
pass
def create_derived_duplicate(self, *args):
""" CreateDerivedDuplicate(self: GH_SquareRootGraph) -> GH_AbstractGraph """
pass
def create_grips(self, *args):
""" CreateGrips(self: GH_SquareRootGraph) """
pass
def draw__pre_render_graph(self, g, cnt):
""" Draw_PreRenderGraph(self: GH_SquareRootGraph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def gh_graph_to_point_array(self, *args):
"""
GHGraphToPointArray(reg: RectangleF,pix_accuracy: float,eval: GH_Evaluator) -> Array[PointF]
GHGraphToPointArray(self: GH_AbstractGraph,reg: RectangleF,pix_accuracy: float) -> Array[PointF]
"""
pass
def internal__grip_changed(self, *args):
""" Internal_GripChanged(self: GH_AbstractGraph,grip: GH_GraphGrip,bIntermediate: bool) """
pass
def read(self, reader):
""" Read(self: GH_SquareRootGraph,reader: GH_IReader) -> bool """
pass
def update_equation(self, *args):
""" UpdateEquation(self: GH_SquareRootGraph) """
pass
def value_at(self, t):
""" ValueAt(self: GH_SquareRootGraph,t: float) -> float """
pass
def write(self, writer):
""" Write(self: GH_SquareRootGraph,writer: GH_IWriter) -> bool """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
graph_type_id = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: GraphTypeID(self: GH_SquareRootGraph) -> Guid\n\n\n\n'
icon_16x16 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Icon_16x16(self: GH_SquareRootGraph) -> Image\n\n\n\n'
is_valid = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: IsValid(self: GH_SquareRootGraph) -> bool\n\n\n\n'
class Igh_Graph(GH_ISerializable):
def clear_caches(self):
""" ClearCaches(self: IGH_Graph) """
pass
def draw__post_render_graph(self, g, cnt):
""" Draw_PostRenderGraph(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer) """
pass
def draw__post_render_grid(self, g, cnt):
""" Draw_PostRenderGrid(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer) """
pass
def draw__post_render_grip(self, g, cnt, index):
""" Draw_PostRenderGrip(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer,index: int) """
pass
def draw__post_render_tags(self, g, cnt):
""" Draw_PostRenderTags(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer) """
pass
def draw__pre_render_graph(self, g, cnt):
""" Draw_PreRenderGraph(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def draw__pre_render_grid(self, g, cnt):
""" Draw_PreRenderGrid(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def draw__pre_render_grip(self, g, cnt, index):
""" Draw_PreRenderGrip(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer,index: int) -> GH_GraphDrawInstruction """
pass
def draw__pre_render_tags(self, g, cnt):
""" Draw_PreRenderTags(self: IGH_Graph,g: Graphics,cnt: GH_GraphContainer) -> GH_GraphDrawInstruction """
pass
def duplicate(self):
""" Duplicate(self: IGH_Graph) -> IGH_Graph """
pass
def emit_proxy_object(self):
""" EmitProxyObject(self: IGH_Graph) -> IGH_GraphProxyObject """
pass
def gdi__graph_path(self, reg):
""" GDI_GraphPath(self: IGH_Graph,reg: RectangleF) -> Array[PointF] """
pass
def on_graph_changed(self, bIntermediate):
""" OnGraphChanged(self: IGH_Graph,bIntermediate: bool) """
pass
def prepare_for_use(self):
""" PrepareForUse(self: IGH_Graph) """
pass
def value_at(self, t):
""" ValueAt(self: IGH_Graph,t: float) -> float """
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
description = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Description(self: IGH_Graph) -> str\n\n\n\n'
graph_type_id = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: GraphTypeID(self: IGH_Graph) -> Guid\n\n\n\n'
grips = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Grips(self: IGH_Graph) -> List[GH_GraphGrip]\n\n\n\n'
icon_16x16 = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Icon_16x16(self: IGH_Graph) -> Image\n\n\n\n'
is_valid = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: IsValid(self: IGH_Graph) -> bool\n\n\n\n'
name = property(lambda self: object(), lambda self, v: None, lambda self: None)
'Get: Name(self: IGH_Graph) -> str\n\n\n\n'
graph_changed = None
graph_changed_event_handler = None
class Igh_Graphproxyobject:
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
|
def betweenness_centrality(G, k=None, normalized=True, weight=None, endpoints=False, seed=None):
# doesn't currently support `weight`, `k`, `endpoints`, `seed`
query = """\
CALL gds.betweenness.stream({
nodeProjection: $node_label,
relationshipProjection: {
relType: {
type: $relationship_type,
orientation: $direction,
properties: {}
}
}
})
YIELD nodeId, score
RETURN gds.util.asNode(nodeId).%s AS node, score
ORDER BY node ASC
""" % G.identifier_property
params = G.base_params()
with G.driver.session() as session:
result = {row["node"]: row["score"] for row in session.run(query, params)}
return result
def closeness_centrality(G, u=None, distance=None, wf_improved=True, reverse=False):
# doesn't currently supported `distance`, `reverse`, `wf_improved`
query = """\
CALL gds.alpha.closeness.stream({
nodeProjection: $node_label,
relationshipProjection: {
relType: {
type: $relationship_type,
orientation: $direction,
properties: {}
}
}})
YIELD nodeId, centrality
RETURN gds.util.asNode(nodeId).%s AS node, centrality
ORDER BY node ASC
""" % G.identifier_property
params = G.base_params()
with G.driver.session() as session:
result = {row["node"]: row["centrality"] for row in session.run(query, params)}
if u:
return result[u]
return result
def pagerank(G, alpha=0.85, personalization=None, max_iter=100, tol=1.0e-8, nstart=None, weight='weight'):
# doesn't currently supported `personalization`, `tol`, `nstart`, `weight`
query = """\
CALL gds.pageRank.stream({
nodeProjection: $node_label,
relationshipProjection: {
relType: {
type: $relationship_type,
orientation: $direction,
properties: {}
}
},
relationshipWeightProperty: null,
dampingFactor: $dampingFactor,
maxIterations: $iterations
}) YIELD nodeId, score
WITH gds.util.asNode(nodeId).%s AS node, score
RETURN node, score
""" % G.identifier_property
params = G.base_params()
params["iterations"] = max_iter
params["dampingFactor"] = alpha
with G.driver.session() as session:
result = {row["node"]: row["score"] for row in session.run(query, params)}
return result
|
def betweenness_centrality(G, k=None, normalized=True, weight=None, endpoints=False, seed=None):
query = ' CALL gds.betweenness.stream({\n nodeProjection: $node_label,\n relationshipProjection: {\n relType: {\n type: $relationship_type,\n orientation: $direction,\n properties: {}\n }\n }\n })\n YIELD nodeId, score\n RETURN gds.util.asNode(nodeId).%s AS node, score\n ORDER BY node ASC\n ' % G.identifier_property
params = G.base_params()
with G.driver.session() as session:
result = {row['node']: row['score'] for row in session.run(query, params)}
return result
def closeness_centrality(G, u=None, distance=None, wf_improved=True, reverse=False):
query = ' CALL gds.alpha.closeness.stream({\n nodeProjection: $node_label,\n relationshipProjection: {\n relType: {\n type: $relationship_type,\n orientation: $direction,\n properties: {}\n }\n }})\n YIELD nodeId, centrality\n RETURN gds.util.asNode(nodeId).%s AS node, centrality\n ORDER BY node ASC\n ' % G.identifier_property
params = G.base_params()
with G.driver.session() as session:
result = {row['node']: row['centrality'] for row in session.run(query, params)}
if u:
return result[u]
return result
def pagerank(G, alpha=0.85, personalization=None, max_iter=100, tol=1e-08, nstart=None, weight='weight'):
query = ' CALL gds.pageRank.stream({\n nodeProjection: $node_label,\n relationshipProjection: {\n relType: {\n type: $relationship_type,\n orientation: $direction,\n properties: {}\n }\n },\n relationshipWeightProperty: null,\n dampingFactor: $dampingFactor,\n maxIterations: $iterations\n }) YIELD nodeId, score\n WITH gds.util.asNode(nodeId).%s AS node, score\n RETURN node, score\n ' % G.identifier_property
params = G.base_params()
params['iterations'] = max_iter
params['dampingFactor'] = alpha
with G.driver.session() as session:
result = {row['node']: row['score'] for row in session.run(query, params)}
return result
|
# A foolish try.
def splitp(p: str):
res = []
tmp = ""
for i in range(len(p)):
if p[i] != "*" and p[i] != ".":
tmp += p[i]
elif p[i] == ".":
res.append(tmp)
res.append(p[i])
tmp = ""
else:
if len(res) > 0 and res[-1] == "." and tmp == "":
res = res[:-1]
res.append(".*")
else:
res.append(tmp[:-1])
res.append(tmp[-1]+p[i])
tmp = ""
res.append(tmp)
res = [w for w in res if w != ""]
return res
def p2gen(s: str, p: str):
sgen = ""
cr = 0
presp = []
splitedp = splitp(p)
for k,sp in enumerate(splitedp):
lensp = len(sp)
if "*" in sp and "." not in sp:
i = max(0, len(sp) - 2)
j = 0
gs = sp[:i]
while j <= len(s) and s[cr:cr+i+j] == gs:
gs = sp[:-1] + sp[-2] * j
j += 1
sgen += gs[:-1]
cr += len(gs[:-1])
presp.append(sp[0])
elif "." in sp and "*" not in sp:
sgen += sp
cr += len(sp)
else:
if len(sgen) > 0 and sp[0] in presp and sp[0] == sgen[-1]:
continue
else:
sgen += sp
cr += len(sp)
return sgen
def isMatch(s: str, p: str) -> bool:
res = True
if p == ".*":
return True
pgen = p2gen(s, p)
print(pgen)
gen = ""
if ".*" not in p:
for i in range(len(pgen)):
if pgen[i] == ".":
try:
c = s[i]
except IndexError as e:
return False
else:
c = pgen[i]
gen += c
res = gen == s
else:
n = 0
newp = "".join([w for w in pgen.split(".*")])
for l in newp:
if l == ".":
n += 1
continue
else:
if l not in s:
res = False
break
if n > len(s):
res = False
return res
|
def splitp(p: str):
res = []
tmp = ''
for i in range(len(p)):
if p[i] != '*' and p[i] != '.':
tmp += p[i]
elif p[i] == '.':
res.append(tmp)
res.append(p[i])
tmp = ''
else:
if len(res) > 0 and res[-1] == '.' and (tmp == ''):
res = res[:-1]
res.append('.*')
else:
res.append(tmp[:-1])
res.append(tmp[-1] + p[i])
tmp = ''
res.append(tmp)
res = [w for w in res if w != '']
return res
def p2gen(s: str, p: str):
sgen = ''
cr = 0
presp = []
splitedp = splitp(p)
for (k, sp) in enumerate(splitedp):
lensp = len(sp)
if '*' in sp and '.' not in sp:
i = max(0, len(sp) - 2)
j = 0
gs = sp[:i]
while j <= len(s) and s[cr:cr + i + j] == gs:
gs = sp[:-1] + sp[-2] * j
j += 1
sgen += gs[:-1]
cr += len(gs[:-1])
presp.append(sp[0])
elif '.' in sp and '*' not in sp:
sgen += sp
cr += len(sp)
elif len(sgen) > 0 and sp[0] in presp and (sp[0] == sgen[-1]):
continue
else:
sgen += sp
cr += len(sp)
return sgen
def is_match(s: str, p: str) -> bool:
res = True
if p == '.*':
return True
pgen = p2gen(s, p)
print(pgen)
gen = ''
if '.*' not in p:
for i in range(len(pgen)):
if pgen[i] == '.':
try:
c = s[i]
except IndexError as e:
return False
else:
c = pgen[i]
gen += c
res = gen == s
else:
n = 0
newp = ''.join([w for w in pgen.split('.*')])
for l in newp:
if l == '.':
n += 1
continue
elif l not in s:
res = False
break
if n > len(s):
res = False
return res
|
__author__ = 'awbennett'
class AbstractMethod(object):
def __init__(self):
pass
def fit(self, x_train, z_train, y_train, x_dev, z_dev, y_dev):
raise NotImplementedError()
def predict(self, x_test):
raise NotImplementedError()
|
__author__ = 'awbennett'
class Abstractmethod(object):
def __init__(self):
pass
def fit(self, x_train, z_train, y_train, x_dev, z_dev, y_dev):
raise not_implemented_error()
def predict(self, x_test):
raise not_implemented_error()
|
class KeyParser:
def __init__(self, separator='\t', row=1, column=0):
"""
:param separator: Field separator to split one line in several values
:param row: The position in a line of the row identifier (starting at zero)
:param column: The position in a line of the column identifier (starting at zero)
"""
self.separator = separator
self.row = row
self.column = column
def keys(self, line):
"""
Return the row and column identifiers of this line
:param line:
:return:
"""
values = line.split(self.separator)
return values[self.row], values[self.column]
|
class Keyparser:
def __init__(self, separator='\t', row=1, column=0):
"""
:param separator: Field separator to split one line in several values
:param row: The position in a line of the row identifier (starting at zero)
:param column: The position in a line of the column identifier (starting at zero)
"""
self.separator = separator
self.row = row
self.column = column
def keys(self, line):
"""
Return the row and column identifiers of this line
:param line:
:return:
"""
values = line.split(self.separator)
return (values[self.row], values[self.column])
|
def findDivisible(numberList):
print("Given list is ",numberList)
print("Divisible by 5 in a list")
for num in numberList:
if(num%5==0):
print(num)
numberList=[10,55,21,26,55]
findDivisible(numberList)
|
def find_divisible(numberList):
print('Given list is ', numberList)
print('Divisible by 5 in a list')
for num in numberList:
if num % 5 == 0:
print(num)
number_list = [10, 55, 21, 26, 55]
find_divisible(numberList)
|
event_aliases = {
'halloween 2020': 1,
'candy': 2,
'swimsuits 2020': 3,
'maids': 5,
'christmas 2020': 6,
'countdown': 7,
'monster hunter pt1': 9,
'mh1': 9,
'monster hunter pt2': 10,
'mh2': 10,
}
|
event_aliases = {'halloween 2020': 1, 'candy': 2, 'swimsuits 2020': 3, 'maids': 5, 'christmas 2020': 6, 'countdown': 7, 'monster hunter pt1': 9, 'mh1': 9, 'monster hunter pt2': 10, 'mh2': 10}
|
BZX = Contract.from_abi("BZX", "0xD8Ee69652E4e4838f2531732a46d1f7F584F0b7f", interface.IBZx.abi)
TOKEN_REGISTRY = Contract.from_abi("TOKEN_REGISTRY", "0xf0E474592B455579Fe580D610b846BdBb529C6F7", TokenRegistry.abi)
list = TOKEN_REGISTRY.getTokens(0, 100)
for l in list:
iTokenTemp = Contract.from_abi("iTokenTemp", l[0], LoanTokenLogicStandard.abi)
globals()[iTokenTemp.symbol()] = iTokenTemp
underlyingTemp = Contract.from_abi("underlyingTemp", l[1], TestToken.abi)
if (l[1] == "0x9f8F72aA9304c8B593d555F12eF6589cC3A579A2"):
globals()["MKR"] = underlyingTemp # MRK has some fun symbol()
else:
globals()[underlyingTemp.symbol()] = underlyingTemp
CHI = Contract.from_abi("CHI", "0x0000000000004946c0e9F43F4Dee607b0eF1fA1c", TestToken.abi)
STAKING = Contract.from_abi("STAKING", "0xe95Ebce2B02Ee07dEF5Ed6B53289801F7Fc137A4", StakingV1_1.abi)
vBZRX = Contract.from_abi("vBZRX", "0xB72B31907C1C95F3650b64b2469e08EdACeE5e8F", BZRXVestingToken.abi)
POOL3 = Contract.from_abi("CURVE3CRV", "0x6c3F90f043a72FA612cbac8115EE7e52BDe6E490", TestToken.abi)
BPT = Contract.from_abi("BPT", "0xe26A220a341EAca116bDa64cF9D5638A935ae629", TestToken.abi)
SLP = Contract.from_abi("SLP", "0xa30911e072A0C88D55B5D0A0984B66b0D04569d0", TestToken.abi)
HELPER = Contract.from_abi("HELPER", "0x3B55369bfeA51822eb3E85868c299E8127E13c56", HelperImpl.abi)
PRICE_FEED = Contract.from_abi("PRICE_FEED", BZX.priceFeeds(), abi = PriceFeeds.abi)
stakingProxy = Contract.from_abi("proxy", "0xe95Ebce2B02Ee07dEF5Ed6B53289801F7Fc137A4", StakingProxy.abi)
stakingImpl = StakingV1_1.deploy({'from': stakingProxy.owner()})
stakingProxy.replaceImplementation(stakingImpl, {'from': stakingProxy.owner()})
STAKING = Contract.from_abi("STAKING", stakingProxy.address, StakingV1_1.abi)
SUSHI_ROUTER = Contract.from_abi("router", "0xd9e1cE17f2641f24aE83637ab66a2cca9C378B9F", interface.IPancakeRouter02.abi)
for acc in [accounts[0], accounts[9]]:
quote = SUSHI_ROUTER.quote(1000*10**18, WETH.address, BZRX.address)
quote1 = SUSHI_ROUTER.quote(10000*10**18, BZRX.address, WETH.address)
BZRX.approve(SUSHI_ROUTER, 2**256-1, {'from': acc})
WETH.approve(SUSHI_ROUTER, 2**256-1, {'from': acc})
BZRX.transfer(acc, 20000e18, {'from': BZRX})
WETH.transfer(acc, 20e18, {'from': WETH})
SUSHI_ROUTER.addLiquidity(WETH,BZRX, quote1, BZRX.balanceOf(acc), 0, 0, acc, 10000000e18, {'from': acc})
SLP.approve(STAKING, 2**256-1, {'from': acc})
CHEF = Contract.from_abi("CHEF", "0xc2EdaD668740f1aA35E4D8f227fB8E17dcA888Cd", interface.IMasterChefSushi.abi)
SLP.approve(CHEF, 2**256-1, {'from':STAKING})
SUSHI = Contract.from_abi("SUSHI", "0x6b3595068778dd592e39a122f4f5a5cf09c90fe2", TestToken.abi)
#CHEF.deposit(188, SLP.balanceOf(STAKING), {'from': STAKING})
feesExtractorImpl = FeeExtractAndDistribute_ETH.deploy({'from': stakingProxy.owner()})
proxy = Proxy.deploy(feesExtractorImpl, {'from': stakingProxy.owner()})
FEE_EXTRACTOR = Contract.from_abi("FEE_EXTRACTOR", proxy.address, FeeExtractAndDistribute_ETH.abi)
BZX.setFeesController(FEE_EXTRACTOR, {'from': BZX.owner()})
FEE_EXTRACTOR.setPaths([
["0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2",
"0x56d811088235F11C8920698a204A5010a788f4b3"], # WETH -> BZRX
["0x2260FAC5E5542a773Aa44fBCfeDf7C193bc2C599", "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2",
"0x56d811088235F11C8920698a204A5010a788f4b3"], # WBTC -> WETH -> BZRX
["0x7Fc66500c84A76Ad7e9c93437bFc5Ac33E2DDaE9", "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2",
"0x56d811088235F11C8920698a204A5010a788f4b3"], # AAVE -> WETH -> BZRX
# ["0xdd974D5C2e2928deA5F71b9825b8b646686BD200", "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2",
# "0x56d811088235F11C8920698a204A5010a788f4b3"] # KNC -> WETH -> BZRX
["0x9f8F72aA9304c8B593d555F12eF6589cC3A579A2", "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2",
"0x56d811088235F11C8920698a204A5010a788f4b3"], # MKR -> WETH -> BZRX
["0x514910771AF9Ca656af840dff83E8264EcF986CA", "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2",
"0x56d811088235F11C8920698a204A5010a788f4b3"], # LINK -> WETH -> BZRX
["0x0bc529c00C6401aEF6D220BE8C6Ea1667F6Ad93e", "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2",
"0x56d811088235F11C8920698a204A5010a788f4b3"], # YFI -> WETH -> BZRX
["0xc00e94cb662c3520282e6f5717214004a7f26888", "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2",
"0x56d811088235F11C8920698a204A5010a788f4b3"], # COMP -> WETH -> BZRX,
#["0xBBbbCA6A901c926F240b89EacB641d8Aec7AEafD", "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2",
# "0x56d811088235F11C8920698a204A5010a788f4b3"], # LRC -> WETH -> BZRX <--- no liquidity on sushi
["0x1f9840a85d5af5bf1d1762f925bdaddc4201f984", "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2",
"0x56d811088235F11C8920698a204A5010a788f4b3"], # UNI -> WETH -> BZRX
], {'from': BZX.owner()})
FEE_EXTRACTOR.setApprovals({'from': FEE_EXTRACTOR.owner()})
'''
# approve curvpool spent dai
DAI.approve('0xbEbc44782C7dB0a1A60Cb6fe97d0b483032FF1C7', 2**256-1, {'from': FEE_EXTRACTOR})
USDC.approve('0xbEbc44782C7dB0a1A60Cb6fe97d0b483032FF1C7', 2**256-1, {'from': FEE_EXTRACTOR})
USDT.approve('0xbEbc44782C7dB0a1A60Cb6fe97d0b483032FF1C7', 2**256-1, {'from': FEE_EXTRACTOR})
BZRX.approve(STAKING, 2**256-1, {'from': FEE_EXTRACTOR})
POOL3.approve(STAKING, 2**256-1, {'from': FEE_EXTRACTOR})
'''
DAO = Contract.from_abi("governorBravoDelegator", address="0x9da41f7810c2548572f4Fa414D06eD9772cA9e6E", abi=GovernorBravoDelegate.abi)
TIMELOCK = Contract.from_abi("TIMELOCK", address="0xfedC4dD5247B93feb41e899A09C44cFaBec29Cbc", abi=Timelock.abi)
|
bzx = Contract.from_abi('BZX', '0xD8Ee69652E4e4838f2531732a46d1f7F584F0b7f', interface.IBZx.abi)
token_registry = Contract.from_abi('TOKEN_REGISTRY', '0xf0E474592B455579Fe580D610b846BdBb529C6F7', TokenRegistry.abi)
list = TOKEN_REGISTRY.getTokens(0, 100)
for l in list:
i_token_temp = Contract.from_abi('iTokenTemp', l[0], LoanTokenLogicStandard.abi)
globals()[iTokenTemp.symbol()] = iTokenTemp
underlying_temp = Contract.from_abi('underlyingTemp', l[1], TestToken.abi)
if l[1] == '0x9f8F72aA9304c8B593d555F12eF6589cC3A579A2':
globals()['MKR'] = underlyingTemp
else:
globals()[underlyingTemp.symbol()] = underlyingTemp
chi = Contract.from_abi('CHI', '0x0000000000004946c0e9F43F4Dee607b0eF1fA1c', TestToken.abi)
staking = Contract.from_abi('STAKING', '0xe95Ebce2B02Ee07dEF5Ed6B53289801F7Fc137A4', StakingV1_1.abi)
v_bzrx = Contract.from_abi('vBZRX', '0xB72B31907C1C95F3650b64b2469e08EdACeE5e8F', BZRXVestingToken.abi)
pool3 = Contract.from_abi('CURVE3CRV', '0x6c3F90f043a72FA612cbac8115EE7e52BDe6E490', TestToken.abi)
bpt = Contract.from_abi('BPT', '0xe26A220a341EAca116bDa64cF9D5638A935ae629', TestToken.abi)
slp = Contract.from_abi('SLP', '0xa30911e072A0C88D55B5D0A0984B66b0D04569d0', TestToken.abi)
helper = Contract.from_abi('HELPER', '0x3B55369bfeA51822eb3E85868c299E8127E13c56', HelperImpl.abi)
price_feed = Contract.from_abi('PRICE_FEED', BZX.priceFeeds(), abi=PriceFeeds.abi)
staking_proxy = Contract.from_abi('proxy', '0xe95Ebce2B02Ee07dEF5Ed6B53289801F7Fc137A4', StakingProxy.abi)
staking_impl = StakingV1_1.deploy({'from': stakingProxy.owner()})
stakingProxy.replaceImplementation(stakingImpl, {'from': stakingProxy.owner()})
staking = Contract.from_abi('STAKING', stakingProxy.address, StakingV1_1.abi)
sushi_router = Contract.from_abi('router', '0xd9e1cE17f2641f24aE83637ab66a2cca9C378B9F', interface.IPancakeRouter02.abi)
for acc in [accounts[0], accounts[9]]:
quote = SUSHI_ROUTER.quote(1000 * 10 ** 18, WETH.address, BZRX.address)
quote1 = SUSHI_ROUTER.quote(10000 * 10 ** 18, BZRX.address, WETH.address)
BZRX.approve(SUSHI_ROUTER, 2 ** 256 - 1, {'from': acc})
WETH.approve(SUSHI_ROUTER, 2 ** 256 - 1, {'from': acc})
BZRX.transfer(acc, 2e+22, {'from': BZRX})
WETH.transfer(acc, 2e+19, {'from': WETH})
SUSHI_ROUTER.addLiquidity(WETH, BZRX, quote1, BZRX.balanceOf(acc), 0, 0, acc, 1e+25, {'from': acc})
SLP.approve(STAKING, 2 ** 256 - 1, {'from': acc})
chef = Contract.from_abi('CHEF', '0xc2EdaD668740f1aA35E4D8f227fB8E17dcA888Cd', interface.IMasterChefSushi.abi)
SLP.approve(CHEF, 2 ** 256 - 1, {'from': STAKING})
sushi = Contract.from_abi('SUSHI', '0x6b3595068778dd592e39a122f4f5a5cf09c90fe2', TestToken.abi)
fees_extractor_impl = FeeExtractAndDistribute_ETH.deploy({'from': stakingProxy.owner()})
proxy = Proxy.deploy(feesExtractorImpl, {'from': stakingProxy.owner()})
fee_extractor = Contract.from_abi('FEE_EXTRACTOR', proxy.address, FeeExtractAndDistribute_ETH.abi)
BZX.setFeesController(FEE_EXTRACTOR, {'from': BZX.owner()})
FEE_EXTRACTOR.setPaths([['0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2', '0x56d811088235F11C8920698a204A5010a788f4b3'], ['0x2260FAC5E5542a773Aa44fBCfeDf7C193bc2C599', '0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2', '0x56d811088235F11C8920698a204A5010a788f4b3'], ['0x7Fc66500c84A76Ad7e9c93437bFc5Ac33E2DDaE9', '0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2', '0x56d811088235F11C8920698a204A5010a788f4b3'], ['0x9f8F72aA9304c8B593d555F12eF6589cC3A579A2', '0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2', '0x56d811088235F11C8920698a204A5010a788f4b3'], ['0x514910771AF9Ca656af840dff83E8264EcF986CA', '0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2', '0x56d811088235F11C8920698a204A5010a788f4b3'], ['0x0bc529c00C6401aEF6D220BE8C6Ea1667F6Ad93e', '0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2', '0x56d811088235F11C8920698a204A5010a788f4b3'], ['0xc00e94cb662c3520282e6f5717214004a7f26888', '0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2', '0x56d811088235F11C8920698a204A5010a788f4b3'], ['0x1f9840a85d5af5bf1d1762f925bdaddc4201f984', '0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2', '0x56d811088235F11C8920698a204A5010a788f4b3']], {'from': BZX.owner()})
FEE_EXTRACTOR.setApprovals({'from': FEE_EXTRACTOR.owner()})
"\n# approve curvpool spent dai\nDAI.approve('0xbEbc44782C7dB0a1A60Cb6fe97d0b483032FF1C7', 2**256-1, {'from': FEE_EXTRACTOR})\nUSDC.approve('0xbEbc44782C7dB0a1A60Cb6fe97d0b483032FF1C7', 2**256-1, {'from': FEE_EXTRACTOR})\nUSDT.approve('0xbEbc44782C7dB0a1A60Cb6fe97d0b483032FF1C7', 2**256-1, {'from': FEE_EXTRACTOR})\nBZRX.approve(STAKING, 2**256-1, {'from': FEE_EXTRACTOR})\nPOOL3.approve(STAKING, 2**256-1, {'from': FEE_EXTRACTOR})\n"
dao = Contract.from_abi('governorBravoDelegator', address='0x9da41f7810c2548572f4Fa414D06eD9772cA9e6E', abi=GovernorBravoDelegate.abi)
timelock = Contract.from_abi('TIMELOCK', address='0xfedC4dD5247B93feb41e899A09C44cFaBec29Cbc', abi=Timelock.abi)
|
class PdfRelayException(Exception):
def __init__(self, *args, **kwargs):
super(PdfRelayException, self).__init__(args, kwargs)
class JobError(PdfRelayException):
"""Issue with the parameters of the conversion job"""
class EngineError(PdfRelayException):
"""Engine process spawning/execution error"""
class MetadataError(PdfRelayException):
"""An error occurred in the retrieval or saving of PDF metadata"""
|
class Pdfrelayexception(Exception):
def __init__(self, *args, **kwargs):
super(PdfRelayException, self).__init__(args, kwargs)
class Joberror(PdfRelayException):
"""Issue with the parameters of the conversion job"""
class Engineerror(PdfRelayException):
"""Engine process spawning/execution error"""
class Metadataerror(PdfRelayException):
"""An error occurred in the retrieval or saving of PDF metadata"""
|
expected_output = {
'vrf': {
'default': {
'local_label': {
201: {
'outgoing_label_or_vc': {
'Pop tag': {
'prefix_or_tunnel_id': {
'10.18.18.18/32': {
'outgoing_interface': {
'Port-channel1/1/0': {
'next_hop': 'point2point', 'bytes_label_switched': 0}}}}}}}, 'No Label': {
'outgoing_label_or_vc': {
'2/35': {
'prefix_or_tunnel_id': {
'10.18.18.18/32': {
'outgoing_interface': {
'ATM4/1/0.1': {
'next_hop': 'point2point', 'bytes_label_switched': 0}}}}}, 'No Label': {
'prefix_or_tunnel_id': {
'None': {
'outgoing_interface': {
'No Label': {}}}}}}}, 251: {
'outgoing_label_or_vc': {
'18': {
'prefix_or_tunnel_id': {
'10.17.17.17/32': {
'outgoing_interface': {
'Port-channel1/1/0': {
'next_hop': 'point2point', 'bytes_label_switched': 0}}}}}}}}}}}
|
expected_output = {'vrf': {'default': {'local_label': {201: {'outgoing_label_or_vc': {'Pop tag': {'prefix_or_tunnel_id': {'10.18.18.18/32': {'outgoing_interface': {'Port-channel1/1/0': {'next_hop': 'point2point', 'bytes_label_switched': 0}}}}}}}, 'No Label': {'outgoing_label_or_vc': {'2/35': {'prefix_or_tunnel_id': {'10.18.18.18/32': {'outgoing_interface': {'ATM4/1/0.1': {'next_hop': 'point2point', 'bytes_label_switched': 0}}}}}, 'No Label': {'prefix_or_tunnel_id': {'None': {'outgoing_interface': {'No Label': {}}}}}}}, 251: {'outgoing_label_or_vc': {'18': {'prefix_or_tunnel_id': {'10.17.17.17/32': {'outgoing_interface': {'Port-channel1/1/0': {'next_hop': 'point2point', 'bytes_label_switched': 0}}}}}}}}}}}
|
a = 1
b = 2
num = 3
|
a = 1
b = 2
num = 3
|
_base_ = [
'r50_sz224_4xb64_head1_lr0_1_step_ep20.py',
]
# optimizer
optimizer = dict(lr=0.01)
|
_base_ = ['r50_sz224_4xb64_head1_lr0_1_step_ep20.py']
optimizer = dict(lr=0.01)
|
KNOWN_SIDS = {
"S-1-0": "Null Authority",
"S-1-0-0": "Nobody",
"S-1-1": "World Authority",
"S-1-1-0": "Everyone",
"S-1-2": "Local Authority",
"S-1-2-0": "Local",
"S-1-3": "Creator Authority",
"S-1-3-0": "Creator Owner",
"S-1-3-1": "Creator Group",
"S-1-3-4": "Owner Rights",
"S-1-4": "Non-unique Authority",
"S-1-5": "NT Authority",
"S-1-5-1": "Dialup",
"S-1-5-2": "Network",
"S-1-5-3": "Batch",
"S-1-5-4": "Interactive",
"S-1-5-5-X-Y": "Logon Session",
"S-1-5-6": "Service",
"S-1-5-7": "Anonymous",
"S-1-5-9": "Enterprise Domain Controllers",
"S-1-5-10": "Principal Self",
"S-1-5-11": "Authenticated Users",
"S-1-5-12": "Restricted Code",
"S-1-5-13": "Terminal Server Users",
"S-1-5-14": "Remote Interactive Logon",
"S-1-5-17": "IUSR",
"S-1-5-18": "Local System",
"S-1-5-19": "NT Authority Local Service",
"S-1-5-20": "NT Authority Network Service",
"S-1-5-32-544": "Administrators",
"S-1-5-32-545": "Users",
"S-1-5-32-546": "Guests",
"S-1-5-32-547": "Power Users",
"S-1-5-32-548": "Account Operators",
"S-1-5-32-549": "Server Operators",
"S-1-5-32-550": "Print Operators",
"S-1-5-32-551": "Backup Operators",
"S-1-5-32-552": "Replicators",
"S-1-5-32-582": "Storage Replica Administrators",
"S-1-5-64-10": "NTLM Authentication",
"S-1-5-64-14": "SChannel Authentication",
"S-1-5-64-21": "Digest Authentication",
"S-1-5-80": "NT Service",
}
KNOWN_RIDS = {
"500": "Administrator",
"501": "Guest",
"502": "KRBTGT",
"512": "Domain Admins",
"513": "Domain Users",
"514": "Domain Guests",
"515": "Domain Computers",
"516": "Domain Controllers",
"517": "Cert Publishers",
"518": "Schema Admins",
"519": "Enterprise Admins",
"520": "Group Policy Creator Owners",
"526": "Key Admins",
"527": "Enterprise Key Admins",
"553": "RAS and IAS Servers",
}
# https://github.com/SecureAuthCorp/impacket/blob/master/impacket/ldap/ldaptypes.py#L191
ACCESS_MASK_FLAGS = {
'GENERIC_READ': ('GenericRead', 0x80000000),
'GENERIC_WRITE': ('GenericWrite', 0x40000000),
'GENERIC_EXECUTE': ('GenericExecute', 0x20000000),
'GENERIC_ALL': ('GenericAll', 0x10000000),
'MAXIMUM_ALLOWED': ('MaximumAllowed', 0x02000000),
'ACCESS_SYSTEM_SECURITY': ('AccessSystemSecurity', 0x01000000),
'SYNCHRONIZE': ('Synchronize', 0x00100000),
'WRITE_OWNER': ('WriteOwner', 0x00080000),
'WRITE_DACL': ('WriteDacl', 0x00040000),
'READ_CONTROL': ('ReadControl', 0x00020000),
'DELETE': ('Delete', 0x00010000)
}
# https://github.com/SecureAuthCorp/impacket/blob/master/impacket/ldap/ldaptypes.py#L233
ACCESS_ALLOWED_OBJECT_ACE_FLAGS = {
'ADS_RIGHT_DS_CONTROL_ACCESS': ('ExtendedRight', 0x00000100),
'ADS_RIGHT_DS_CREATE_CHILD': ('CreateChild', 0x00000001),
'ADS_RIGHT_DS_DELETE_CHILD' : ('DeleteChild', 0x00000002),
'ADS_RIGHT_DS_READ_PROP': ('ReadProperty', 0x00000010),
'ADS_RIGHT_DS_WRITE_PROP': ('WriteProperty', 0x00000020),
'ADS_RIGHT_DS_DELETE_TREE': ('DeleteTree', 0x00000040),
'ADS_RIGHT_DS_SELF': ('Self', 0x00000008)
}
|
known_sids = {'S-1-0': 'Null Authority', 'S-1-0-0': 'Nobody', 'S-1-1': 'World Authority', 'S-1-1-0': 'Everyone', 'S-1-2': 'Local Authority', 'S-1-2-0': 'Local', 'S-1-3': 'Creator Authority', 'S-1-3-0': 'Creator Owner', 'S-1-3-1': 'Creator Group', 'S-1-3-4': 'Owner Rights', 'S-1-4': 'Non-unique Authority', 'S-1-5': 'NT Authority', 'S-1-5-1': 'Dialup', 'S-1-5-2': 'Network', 'S-1-5-3': 'Batch', 'S-1-5-4': 'Interactive', 'S-1-5-5-X-Y': 'Logon Session', 'S-1-5-6': 'Service', 'S-1-5-7': 'Anonymous', 'S-1-5-9': 'Enterprise Domain Controllers', 'S-1-5-10': 'Principal Self', 'S-1-5-11': 'Authenticated Users', 'S-1-5-12': 'Restricted Code', 'S-1-5-13': 'Terminal Server Users', 'S-1-5-14': 'Remote Interactive Logon', 'S-1-5-17': 'IUSR', 'S-1-5-18': 'Local System', 'S-1-5-19': 'NT Authority Local Service', 'S-1-5-20': 'NT Authority Network Service', 'S-1-5-32-544': 'Administrators', 'S-1-5-32-545': 'Users', 'S-1-5-32-546': 'Guests', 'S-1-5-32-547': 'Power Users', 'S-1-5-32-548': 'Account Operators', 'S-1-5-32-549': 'Server Operators', 'S-1-5-32-550': 'Print Operators', 'S-1-5-32-551': 'Backup Operators', 'S-1-5-32-552': 'Replicators', 'S-1-5-32-582': 'Storage Replica Administrators', 'S-1-5-64-10': 'NTLM Authentication', 'S-1-5-64-14': 'SChannel Authentication', 'S-1-5-64-21': 'Digest Authentication', 'S-1-5-80': 'NT Service'}
known_rids = {'500': 'Administrator', '501': 'Guest', '502': 'KRBTGT', '512': 'Domain Admins', '513': 'Domain Users', '514': 'Domain Guests', '515': 'Domain Computers', '516': 'Domain Controllers', '517': 'Cert Publishers', '518': 'Schema Admins', '519': 'Enterprise Admins', '520': 'Group Policy Creator Owners', '526': 'Key Admins', '527': 'Enterprise Key Admins', '553': 'RAS and IAS Servers'}
access_mask_flags = {'GENERIC_READ': ('GenericRead', 2147483648), 'GENERIC_WRITE': ('GenericWrite', 1073741824), 'GENERIC_EXECUTE': ('GenericExecute', 536870912), 'GENERIC_ALL': ('GenericAll', 268435456), 'MAXIMUM_ALLOWED': ('MaximumAllowed', 33554432), 'ACCESS_SYSTEM_SECURITY': ('AccessSystemSecurity', 16777216), 'SYNCHRONIZE': ('Synchronize', 1048576), 'WRITE_OWNER': ('WriteOwner', 524288), 'WRITE_DACL': ('WriteDacl', 262144), 'READ_CONTROL': ('ReadControl', 131072), 'DELETE': ('Delete', 65536)}
access_allowed_object_ace_flags = {'ADS_RIGHT_DS_CONTROL_ACCESS': ('ExtendedRight', 256), 'ADS_RIGHT_DS_CREATE_CHILD': ('CreateChild', 1), 'ADS_RIGHT_DS_DELETE_CHILD': ('DeleteChild', 2), 'ADS_RIGHT_DS_READ_PROP': ('ReadProperty', 16), 'ADS_RIGHT_DS_WRITE_PROP': ('WriteProperty', 32), 'ADS_RIGHT_DS_DELETE_TREE': ('DeleteTree', 64), 'ADS_RIGHT_DS_SELF': ('Self', 8)}
|
'''
Write a Python program to count the number occurrence of a specific character in a string.
'''
data = input("Enter a long sentence: ")
datas = data[4]
print(data.count(datas))
|
"""
Write a Python program to count the number occurrence of a specific character in a string.
"""
data = input('Enter a long sentence: ')
datas = data[4]
print(data.count(datas))
|
class Reversed_Proxy(object):
def __init__(self, app, script_name=None, scheme='http', server=None):
self.app = app
self.script_name = script_name
self.scheme = scheme
self.server = server
def __call__(self, environ, start_response):
script_name = environ.get('HTTP_X_SCRIPT_NAME', '') or self.script_name
if script_name:
environ['SCRIPT_NAME'] = script_name
path_info = environ['PATH_INFO']
if path_info.startswith(script_name):
environ['PATH_INFO'] = path_info[len(script_name):]
#scheme = environ.get('HTTP_X_SCHEME', '') or self.scheme
scheme = environ.get('HTTP_X_FORWARDED_PROTO', '') or self.scheme
if scheme:
environ['wsgi.url_scheme'] = scheme
server = environ.get('HTTP_X_FORWARDED_SERVER', '') or self.server
if server:
environ['HTTP_HOST'] = server
environ['wsgi.url_scheme'] = self.scheme
return self.app(environ, start_response)
|
class Reversed_Proxy(object):
def __init__(self, app, script_name=None, scheme='http', server=None):
self.app = app
self.script_name = script_name
self.scheme = scheme
self.server = server
def __call__(self, environ, start_response):
script_name = environ.get('HTTP_X_SCRIPT_NAME', '') or self.script_name
if script_name:
environ['SCRIPT_NAME'] = script_name
path_info = environ['PATH_INFO']
if path_info.startswith(script_name):
environ['PATH_INFO'] = path_info[len(script_name):]
scheme = environ.get('HTTP_X_FORWARDED_PROTO', '') or self.scheme
if scheme:
environ['wsgi.url_scheme'] = scheme
server = environ.get('HTTP_X_FORWARDED_SERVER', '') or self.server
if server:
environ['HTTP_HOST'] = server
environ['wsgi.url_scheme'] = self.scheme
return self.app(environ, start_response)
|
class ResponsePayloadOperations:
def ProductsJSON(self, records):
products = []
i = 0
while i < len(records):
products.append({
'id' : records[i][0],
'name' : records[i][1],
'description': records[i][2],
'count' : records[i][3],
'price' : float(records[i][4]),
})
i+=1
return products
def ProductDetailsJSON(self, record):
product = {
'id' : record[0],
'name' : record[1],
'description': record[2],
'count' : record[3],
'price' : float(record[4]),
'manufacturer_name' : record[5]
}
return product
def CartProductsJSON(self, records):
cart = {'products' : [], 'total_price' : records[len(records) - 1][5]}
i = 0;
while i < len(records) - 1:
cart['products'].append({
'id' : records[i][0],
'name' : records[i][1],
'description': records[i][2],
'count' : records[i][3],
'price' : float(records[i][4]),
'total_price' : float(records[i][5])
})
i+=1
return cart
|
class Responsepayloadoperations:
def products_json(self, records):
products = []
i = 0
while i < len(records):
products.append({'id': records[i][0], 'name': records[i][1], 'description': records[i][2], 'count': records[i][3], 'price': float(records[i][4])})
i += 1
return products
def product_details_json(self, record):
product = {'id': record[0], 'name': record[1], 'description': record[2], 'count': record[3], 'price': float(record[4]), 'manufacturer_name': record[5]}
return product
def cart_products_json(self, records):
cart = {'products': [], 'total_price': records[len(records) - 1][5]}
i = 0
while i < len(records) - 1:
cart['products'].append({'id': records[i][0], 'name': records[i][1], 'description': records[i][2], 'count': records[i][3], 'price': float(records[i][4]), 'total_price': float(records[i][5])})
i += 1
return cart
|
class dtype(object):
def __init__(self, name):
self.type_name = name
float = dtype('float')
double = dtype('double')
half = dtype('half')
uint8 = dtype('uint8')
int16 = dtype('int16')
int32 = dtype('int32')
int64 = dtype('int64')
|
class Dtype(object):
def __init__(self, name):
self.type_name = name
float = dtype('float')
double = dtype('double')
half = dtype('half')
uint8 = dtype('uint8')
int16 = dtype('int16')
int32 = dtype('int32')
int64 = dtype('int64')
|
#!/usr/bin/python3
def print_list_integer(my_list=[]):
for i in range(len(my_list)):
print("{:d}".format(my_list[i]))
|
def print_list_integer(my_list=[]):
for i in range(len(my_list)):
print('{:d}'.format(my_list[i]))
|
# example of a function that does not mutate its input
def add_one_to_series(series):
"""Adds one to a series
"""
# we are not mutating the original data, but returning a copy with new values
return series + 1
# example of a function that does not mutate its data frame input
def add_one_to_data_frame(df):
"""Adds one to the "zeros" column in the input data frame
"""
# do not mutate the input data frame, create a copy
another = df.copy()
another['zeros'] = another['zeros'] + 1
return another
def clean_name(name):
"""Clean a name string
"""
# flip if in last name, first name format
tokens = name.split(',')
if len(tokens) == 2:
first, last = tokens[1], tokens[0]
else:
first, last = name.split(' ')[:2]
# remove punctuation
first_clean = first.strip().capitalize()
last_clean = last.strip().capitalize()
return f'{first_clean} {last_clean}'
|
def add_one_to_series(series):
"""Adds one to a series
"""
return series + 1
def add_one_to_data_frame(df):
"""Adds one to the "zeros" column in the input data frame
"""
another = df.copy()
another['zeros'] = another['zeros'] + 1
return another
def clean_name(name):
"""Clean a name string
"""
tokens = name.split(',')
if len(tokens) == 2:
(first, last) = (tokens[1], tokens[0])
else:
(first, last) = name.split(' ')[:2]
first_clean = first.strip().capitalize()
last_clean = last.strip().capitalize()
return f'{first_clean} {last_clean}'
|
res=0
for i in range(1,1001):
res += i**i
res=str(res)
#res='nursyahjaya'
print(res[len(res)-10:])
|
res = 0
for i in range(1, 1001):
res += i ** i
res = str(res)
print(res[len(res) - 10:])
|
def get_token_group(partitioner="murmur3", group="static-random"):
return static_tokens[partitioner][group]
static_tokens = {
"murmur3": {
"static-random": [
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]
}
}
|
def get_token_group(partitioner='murmur3', group='static-random'):
return static_tokens[partitioner][group]
static_tokens = {'murmur3': {'static-random': 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39838040198978267670599,18721708710567929116022324359494921459,18821303385662756937622518755300301374,18920496033281789051125929701190459610,20539572522724350702492448792437112848,21210193446763696649836955780408132847,23418991456755089518860210956586142760,23530130794072012583185187357239299243,24161714259292885293875522387241276207,24500519761389162890711118187946503247,25192116736215025548831573411262775239,25222110724265229664809997226006752291,25314062928512889471730617681867333945,25362472200831734326361545409396955793,2583919321499518397670323597369816114,26580643876512366520140092298905157189,27026864729292623486540736940853052640,27320612520146656706844467617511673168,27581336288040569876287965952638043385,28131013401983386733277834372522868663,29244626641758935990046047751863689743,29947759507620438949469657394272629404,30283021370435385776473637831500659493,30772417734770284070346995567415143401,31808633720115883404569063064415097462,31952023912770506281440226795716174919,32449328598649453476017611163029723075,32597709016474450857982493747149301543,33250614859780527543653922791129258232,33399235535914688699011857090412069963,33505987824714043178684107358835094496,33852003631596901583416227847684696753,33954101995010466053641851172709661887,36228720036123194928973941127203313404,36547455398554886839167346640517214326,36855472738451229464781594410640073588,37142765842687158488016172325184656471,38969509379059877808059794698409482993,40082595549683988235563539924730771931,40646162732974241657890604775652189788,40860573762168115687516141598702379310,43416128523032228821256757300440903533,43437938671830795599965525936227971614,43503640900992094476739242379211551274,43579341142343456276666997611209041150,43787287104783148818089149508392419943,43830781499397504616518373121492819390,44003730264539227235116302120074125424,44358771861333920250221987559910546762,46772335207280206103882953778512243575,46867831498666392117029383496749487710,47092786266701306009104332272292133189,48280659657371145255550767906085884199,48346875736591078297663066946862780434,49906415162592567715913938409646896200,50126428601301289797774053903744440776,50728648272703244768115068870477914430,51317781597092145689835991457780482988,53923824923403485610729022500775026914,54016441786751088913415551658849431153,54848944533672529993976203897226558188,5580325667242872403463665908725840141,56080298832125073461107105751993418707,56289725515545462356895759142658817134,5675520628724905698145784944852801026,59932986183970751606574811441027744128,60105823118944088751746899663970298297,6277944942667403131182817276080739562,62895988699615698238749930258772819683,6467582576508590122096999987841152257,65639799683018569448605513064512508864,66284960059844560467002222420339558055,66333932380669240296025412617987954943,66412777882313246227349663524907015501,66468313665260403353164250712133623596,68286903843122404230469855890025448498,69612105898786776158865112130489308553,69614981083069487299525173897377675247,70081803755972825515105004048389810114,70561865210449942499773728475126129052,70576761462971434873047716954161145856,7077030006228109615068860096374257819,71368666646311630480062988276460976778,72201682578484681545568390825583947734,72497352396523855538862874350754496654,72806579820476817718459163687762596782,74261399609592409350519519523802227041,74786627054990323158541507368611783730,74836985275690259919931244676005703470,75590471894009745141429291703974243332,75684100695485256993569682147240956675,76702636733780742646493761274144918241,77779523066971291495637190503635339714,78675454106922550124066226232782680997,79019050536082875240202032968280725511,7947339997943832844938496289958449668,79602196769725705758435921765105464017,79825808195579132845518507495534076651,80052901719426402502061418994349335475,81411957507199040316087548688748821551,81650939692143430859122644975887949503,82554324822760811080500260173624251589,83076050162767033811093565512634051972,83177221495805058851287776635486026436,83812163508018824296080304218792125200,84722811685387909205642443684764616251,85522105966826596398852422278163282870,86169714267008000767138116362926775357,87198399482593740562305624308042808336,87419570453069218266337832356092031454,87951651854112576065578974613381870128,89177562506183867755587207036832187776,89958848688119426596127644691992330889,90413819989750036978089666533032118903,91039697833310297959719359483588899121,91222930590209131649732684561646529470,92026582884961933329851912939200324111,92275368227533473716872860252594677753,92989619591511163856627676096386192510,94326001442670244331131536764489444170,94454391392065074387980815831645967905,95420417814503927995987027308944248543,96086234075595859030290106915767457515,96233744067919782604758153016065650273,96428128231963861300518633736224487300,96592711269898816851288858883462690199,96711584787710023715028356375889347704,96891777709294714579949715234000564078,96909882239296528668441208419601391694,96944423107084797645192377736782015591,992952118028006455835726937379275379']}}
|
COMMAND_HELP = '''
oplab <command> [<args>]
'''
TRAIN_COMMAND_HELP = '''
oplab t|train
--params <params_file_path>
--output <model_save_path>
'''
|
command_help = '\n oplab <command> [<args>]\n'
train_command_help = '\n oplab t|train \n --params <params_file_path> \n --output <model_save_path>\n'
|
"""
:type people: List[List[int]]
:rtype: List[List[int]]
[ ] [ ] [ ] [ ] [4] [ ] # [4, 4]: 6 slots, insert 4 with 4 empty space before it
[5] [ ] [ ] [ ] [ ] # [5, 0]: 5 slots, insert 5 with 0 empty space before it
[ ] [5] [ ] [ ] # [5, 2 - 1]: 4 slots, insert 5 with 1 empty space before it
[ ] [6] [ ] # [6, 1]: 3 slots, insert 6 with 1 empty space before it
[7] [ ] # [7, 0]: 2 slots, insert 7 with 0 empty space before it
[7] # [7, 1 - 1]: 1 slots, insert 7 with 0 empty space before it
"""
class Solution:
def reconstructQueue(self, people: List[List[int]]) -> List[List[int]]:
# Sort by height ascending, counts descending
people.sort(key=lambda x: (x[0], -x[1]))
# Initialize the final list with 0
ans = [0] * len(people)
for height, num in people:
# zero_count stores the number of 0s (which is the # of greater numbers) when iterating
# idx means the index in final list
zero_count, idx = 0, 0
# When the # of 0s reachs the required number, then stop the iteration
# idx would be the final index
while zero_count <= num:
if ans[idx] == 0:
zero_count += 1
idx += 1
ans[idx - 1] = [height, num]
return ans
# # Sort descending, insert tallest people first.
class Solution:
def reconstructQueue(self, people: List[List[int]]) -> List[List[int]]:
#hSorted = sorted(people, key=lambda x: (-x[0], x[1]))
people.sort(key=lambda x: (-x[0], x[1]))
ans = []
for p in people:
ans.insert(p[1], p)
return ans
|
"""
:type people: List[List[int]]
:rtype: List[List[int]]
[ ] [ ] [ ] [ ] [4] [ ] # [4, 4]: 6 slots, insert 4 with 4 empty space before it
[5] [ ] [ ] [ ] [ ] # [5, 0]: 5 slots, insert 5 with 0 empty space before it
[ ] [5] [ ] [ ] # [5, 2 - 1]: 4 slots, insert 5 with 1 empty space before it
[ ] [6] [ ] # [6, 1]: 3 slots, insert 6 with 1 empty space before it
[7] [ ] # [7, 0]: 2 slots, insert 7 with 0 empty space before it
[7] # [7, 1 - 1]: 1 slots, insert 7 with 0 empty space before it
"""
class Solution:
def reconstruct_queue(self, people: List[List[int]]) -> List[List[int]]:
people.sort(key=lambda x: (x[0], -x[1]))
ans = [0] * len(people)
for (height, num) in people:
(zero_count, idx) = (0, 0)
while zero_count <= num:
if ans[idx] == 0:
zero_count += 1
idx += 1
ans[idx - 1] = [height, num]
return ans
class Solution:
def reconstruct_queue(self, people: List[List[int]]) -> List[List[int]]:
people.sort(key=lambda x: (-x[0], x[1]))
ans = []
for p in people:
ans.insert(p[1], p)
return ans
|
# Storage Account
def storage (storage_client,storage_account_name, location):
#storage_account_name = 'invalid-or-used-name'
availability = storage_client.storage_accounts.check_name_availability(storage_account_name)
print('The storage account account {} is available: {}'.format(storage_account_name, availability.name_available))
print('Reason: {}'.format(availability.reason))
def key_vault (key_vault_client, RESOURCE_GROUP, key_vault_name, location):
if key_vault_client.resources.check_existence(RESOURCE_GROUP, 'Microsoft.KeyVault',
'',
'vaults',
key_vault_name,
'2021-04-01'):
print (f"Key Vault {key_vault_name} exits ")
return false
else:
print (f"Key Vault {key_vault_name} NOT exits ")
|
def storage(storage_client, storage_account_name, location):
availability = storage_client.storage_accounts.check_name_availability(storage_account_name)
print('The storage account account {} is available: {}'.format(storage_account_name, availability.name_available))
print('Reason: {}'.format(availability.reason))
def key_vault(key_vault_client, RESOURCE_GROUP, key_vault_name, location):
if key_vault_client.resources.check_existence(RESOURCE_GROUP, 'Microsoft.KeyVault', '', 'vaults', key_vault_name, '2021-04-01'):
print(f'Key Vault {key_vault_name} exits ')
return false
else:
print(f'Key Vault {key_vault_name} NOT exits ')
|
"""
File: weather_master.py
-----------------------
This program should implement a console program
that asks weather data from user to compute the
average, highest, lowest, cold days among the inputs.
Output format should match what is shown in the sample
run in the Assignment 2 Handout.
"""
def main():
"""
Enable the user to input the temperatures. If the user input -100, it will stop and show
the highest, the lowest and average temperature. Eventually, it'll show the days that under 16 degrees.
"""
intro()
Temperature()
def intro():
print("stanCode \"Weather Master 4.0\"!")
def Temperature():
input_list=[] # create a list for input
n=int(input("Next temperature(or-100 to quit)?"))
input_list.append(n) # append the first input
if n==(-100):
print("No temperatures were entered")
while n >(-100):
n=int(input("Next temperature(or -100 to quit)?"))
input_list.append(n) # append the inputs
input_list_new=input_list[0:(len(input_list)-1)] # the list which -100 is excluded
print("Highest temperature:"+str(max(input_list_new))) # highest temperature
print("Lowest temperature:"+str(min(input_list_new))) # lowest temperature
sum=0
time = 0
for i in range(len(input_list_new)):
sum+=input_list_new[i] # average temperature
if input_list_new[i]<16: # find cold day(s)
time+=1
print("Average:"+str(sum/len(input_list_new)))
print(str(time) + " cold day(s)")
###### DO NOT EDIT CODE BELOW THIS LINE ######
if __name__ == "__main__":
main()
|
"""
File: weather_master.py
-----------------------
This program should implement a console program
that asks weather data from user to compute the
average, highest, lowest, cold days among the inputs.
Output format should match what is shown in the sample
run in the Assignment 2 Handout.
"""
def main():
"""
Enable the user to input the temperatures. If the user input -100, it will stop and show
the highest, the lowest and average temperature. Eventually, it'll show the days that under 16 degrees.
"""
intro()
temperature()
def intro():
print('stanCode "Weather Master 4.0"!')
def temperature():
input_list = []
n = int(input('Next temperature(or-100 to quit)?'))
input_list.append(n)
if n == -100:
print('No temperatures were entered')
while n > -100:
n = int(input('Next temperature(or -100 to quit)?'))
input_list.append(n)
input_list_new = input_list[0:len(input_list) - 1]
print('Highest temperature:' + str(max(input_list_new)))
print('Lowest temperature:' + str(min(input_list_new)))
sum = 0
time = 0
for i in range(len(input_list_new)):
sum += input_list_new[i]
if input_list_new[i] < 16:
time += 1
print('Average:' + str(sum / len(input_list_new)))
print(str(time) + ' cold day(s)')
if __name__ == '__main__':
main()
|
# Tower of Hanoi
def toh(n,A,B,C):
if n==0:
return
toh(n-1,A,C,B)
print("Moved Disk",n,"From Tower",A,"To Tower ",B)
toh(n-1,C,B,A)
no_of_disk = int(input())
not1 = input()
not2 = input()
not3 = input()
toh(no_of_disk,not1,not2,not3)
|
def toh(n, A, B, C):
if n == 0:
return
toh(n - 1, A, C, B)
print('Moved Disk', n, 'From Tower', A, 'To Tower ', B)
toh(n - 1, C, B, A)
no_of_disk = int(input())
not1 = input()
not2 = input()
not3 = input()
toh(no_of_disk, not1, not2, not3)
|
dd = {
'a': 1,
'b': 2,
'c': 3
}
ll = [1, 2, 3, 4]
print(ll[0])
print(dd)
dd['new'] = 7
print(dd)
dd['new'] += 6
print(dd)
|
dd = {'a': 1, 'b': 2, 'c': 3}
ll = [1, 2, 3, 4]
print(ll[0])
print(dd)
dd['new'] = 7
print(dd)
dd['new'] += 6
print(dd)
|
class WinRMError(Exception):
def __init__(self, code, msg):
super(Exception, self).__init__(msg)
self.code = code
|
class Winrmerror(Exception):
def __init__(self, code, msg):
super(Exception, self).__init__(msg)
self.code = code
|
name = 'forum'
aliases = ('forums', 'f')
pad_none = False
async def run(message):
await message.send('Forum commands: **!forums user (username)**')
|
name = 'forum'
aliases = ('forums', 'f')
pad_none = False
async def run(message):
await message.send('Forum commands: **!forums user (username)**')
|
num = int(input('Type a number between 0 and 9999: '))
u = num % 10
t = num // 10 % 10
h = num // 100 % 10
th = num // 1000 % 10
print(f'Unity: {u} \n'
f'Ten: {t} \n'
f'Hundred: {h} \n'
f'Thousand: {th}')
|
num = int(input('Type a number between 0 and 9999: '))
u = num % 10
t = num // 10 % 10
h = num // 100 % 10
th = num // 1000 % 10
print(f'Unity: {u} \nTen: {t} \nHundred: {h} \nThousand: {th}')
|
'''
Created on Nov 21, 2012
@author: Gary
'''
|
"""
Created on Nov 21, 2012
@author: Gary
"""
|
class InstanceDefinitionArchiveFileStatus(
Enum, IComparable, IFormattable, IConvertible
):
"""
The archive file of a linked instance definition can have the following possible states.
Use InstanceObject.ArchiveFileStatus to query a instance definition's archive file status.
enum InstanceDefinitionArchiveFileStatus,values: LinkedFileIsDifferent (3),LinkedFileIsNewer (1),LinkedFileIsOlder (2),LinkedFileIsUpToDate (0),LinkedFileNotFound (-1),LinkedFileNotReadable (-2),NotALinkedInstanceDefinition (-3)
"""
def __eq__(self, *args):
""" x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """
pass
def __format__(self, *args):
""" __format__(formattable: IFormattable,format: str) -> str """
pass
def __ge__(self, *args):
pass
def __gt__(self, *args):
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __le__(self, *args):
pass
def __lt__(self, *args):
pass
def __ne__(self, *args):
pass
def __reduce_ex__(self, *args):
pass
def __str__(self, *args):
pass
LinkedFileIsDifferent = None
LinkedFileIsNewer = None
LinkedFileIsOlder = None
LinkedFileIsUpToDate = None
LinkedFileNotFound = None
LinkedFileNotReadable = None
NotALinkedInstanceDefinition = None
value__ = None
|
class Instancedefinitionarchivefilestatus(Enum, IComparable, IFormattable, IConvertible):
"""
The archive file of a linked instance definition can have the following possible states.
Use InstanceObject.ArchiveFileStatus to query a instance definition's archive file status.
enum InstanceDefinitionArchiveFileStatus,values: LinkedFileIsDifferent (3),LinkedFileIsNewer (1),LinkedFileIsOlder (2),LinkedFileIsUpToDate (0),LinkedFileNotFound (-1),LinkedFileNotReadable (-2),NotALinkedInstanceDefinition (-3)
"""
def __eq__(self, *args):
""" x.__eq__(y) <==> x==yx.__eq__(y) <==> x==yx.__eq__(y) <==> x==y """
pass
def __format__(self, *args):
""" __format__(formattable: IFormattable,format: str) -> str """
pass
def __ge__(self, *args):
pass
def __gt__(self, *args):
pass
def __init__(self, *args):
""" x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """
pass
def __le__(self, *args):
pass
def __lt__(self, *args):
pass
def __ne__(self, *args):
pass
def __reduce_ex__(self, *args):
pass
def __str__(self, *args):
pass
linked_file_is_different = None
linked_file_is_newer = None
linked_file_is_older = None
linked_file_is_up_to_date = None
linked_file_not_found = None
linked_file_not_readable = None
not_a_linked_instance_definition = None
value__ = None
|
print(a == b)
print(a == c)
print(b == c)
# a and b evaluate to the same
|
print(a == b)
print(a == c)
print(b == c)
|
#
# PySNMP MIB module MIMOSA-NETWORKS-BASE-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/MIMOSA-NETWORKS-BASE-MIB
# Produced by pysmi-0.3.4 at Wed May 1 14:12:48 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
SingleValueConstraint, ValueSizeConstraint, ConstraintsUnion, ConstraintsIntersection, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ValueSizeConstraint", "ConstraintsUnion", "ConstraintsIntersection", "ValueRangeConstraint")
ifIndex, = mibBuilder.importSymbols("IF-MIB", "ifIndex")
ObjectGroup, ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "ModuleCompliance", "NotificationGroup")
Counter32, MibIdentifier, MibScalar, MibTable, MibTableRow, MibTableColumn, TimeTicks, Counter64, enterprises, ObjectIdentity, Gauge32, IpAddress, iso, Integer32, Unsigned32, Bits, NotificationType, ModuleIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "Counter32", "MibIdentifier", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "TimeTicks", "Counter64", "enterprises", "ObjectIdentity", "Gauge32", "IpAddress", "iso", "Integer32", "Unsigned32", "Bits", "NotificationType", "ModuleIdentity")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
mimosa = ModuleIdentity((1, 3, 6, 1, 4, 1, 43356))
mimosa.setRevisions(('2015-06-03 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: mimosa.setRevisionsDescriptions(('First draft',))
if mibBuilder.loadTexts: mimosa.setLastUpdated('201506030000Z')
if mibBuilder.loadTexts: mimosa.setOrganization('Mimosa Networks www.mimosa.co')
if mibBuilder.loadTexts: mimosa.setContactInfo('postal: Mimosa Networks, Inc. 300 Orchard City Dr. Campbell, CA 95008 email: support@mimosa.co')
if mibBuilder.loadTexts: mimosa.setDescription('Mimosa device MIB definitions')
mimosaProduct = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 1))
mimosaMgmt = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 2))
mimosaHardware = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 1, 1))
mimosaSoftware = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 1, 2))
mimosaB5 = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 1, 1, 1))
mimosaB5Lite = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 1, 1, 2))
mimosaA5 = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 1, 1, 3))
mimosaC5 = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 1, 1, 4))
mimosaTrap = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 2, 0))
mimosaMib = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 2, 1))
mimosaMIBGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 2, 3))
mimosaConformanceGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 2, 4))
mimosaTrapMib = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 2, 1, 1))
mimosaWireless = MibIdentifier((1, 3, 6, 1, 4, 1, 43356, 2, 1, 2))
mimosaTrapMIBGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 43356, 2, 3, 1)).setObjects(("MIMOSA-NETWORKS-BASE-MIB", "mimosaTrapMessage"), ("MIMOSA-NETWORKS-BASE-MIB", "mimosaOldSpeed"), ("MIMOSA-NETWORKS-BASE-MIB", "mimosaNewSpeed"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
mimosaTrapMIBGroup = mimosaTrapMIBGroup.setStatus('current')
if mibBuilder.loadTexts: mimosaTrapMIBGroup.setDescription('A collection of objects providing basic Trap function.')
mimosaTrapMessage = MibScalar((1, 3, 6, 1, 4, 1, 43356, 2, 1, 1, 1), OctetString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: mimosaTrapMessage.setStatus('current')
if mibBuilder.loadTexts: mimosaTrapMessage.setDescription('General Octet String object to contain message sent with traps.')
mimosaOldSpeed = MibScalar((1, 3, 6, 1, 4, 1, 43356, 2, 1, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: mimosaOldSpeed.setStatus('current')
if mibBuilder.loadTexts: mimosaOldSpeed.setDescription('The speed of the Ethernet link before the change within Ethernet Speed Change Notifications.')
mimosaNewSpeed = MibScalar((1, 3, 6, 1, 4, 1, 43356, 2, 1, 1, 3), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: mimosaNewSpeed.setStatus('current')
if mibBuilder.loadTexts: mimosaNewSpeed.setDescription('The speed of the Ethernet link after the change within Ethernet Speed Change Notifications.')
mimosaGenericNotificationsGroup = NotificationGroup((1, 3, 6, 1, 4, 1, 43356, 2, 3, 2)).setObjects(("MIMOSA-NETWORKS-BASE-MIB", "mimosaCriticalFault"), ("MIMOSA-NETWORKS-BASE-MIB", "mimosaTempWarning"), ("MIMOSA-NETWORKS-BASE-MIB", "mimosaTempNormal"), ("MIMOSA-NETWORKS-BASE-MIB", "mimosaEthernetSpeedChange"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
mimosaGenericNotificationsGroup = mimosaGenericNotificationsGroup.setStatus('current')
if mibBuilder.loadTexts: mimosaGenericNotificationsGroup.setDescription('The basic Trap notifications for all Mimosa products.')
mimosaCriticalFault = NotificationType((1, 3, 6, 1, 4, 1, 43356, 2, 0, 1)).setObjects(("MIMOSA-NETWORKS-BASE-MIB", "mimosaTrapMessage"))
if mibBuilder.loadTexts: mimosaCriticalFault.setStatus('current')
if mibBuilder.loadTexts: mimosaCriticalFault.setDescription('The mimosaCriticalFault notification is sent when the log manager in the Mimosa product determines that a fault with a critical severity has been detected. The mimosaCriticalFaultLog contains the description of the general error.')
mimosaTempWarning = NotificationType((1, 3, 6, 1, 4, 1, 43356, 2, 0, 2)).setObjects(("MIMOSA-NETWORKS-BASE-MIB", "mimosaTrapMessage"))
if mibBuilder.loadTexts: mimosaTempWarning.setStatus('current')
if mibBuilder.loadTexts: mimosaTempWarning.setDescription('The mimosaTempWarning notification is sent when the log manager in the Mimosa product receives an indication that the temperature is outside the safe range.')
mimosaTempNormal = NotificationType((1, 3, 6, 1, 4, 1, 43356, 2, 0, 3)).setObjects(("MIMOSA-NETWORKS-BASE-MIB", "mimosaTrapMessage"))
if mibBuilder.loadTexts: mimosaTempNormal.setStatus('current')
if mibBuilder.loadTexts: mimosaTempNormal.setDescription('The mimosaTempNormal notification is sent when the log manager in the Mimosa product receives an indication that the temperature is with in the safe range.')
mimosaEthernetSpeedChange = NotificationType((1, 3, 6, 1, 4, 1, 43356, 2, 0, 4)).setObjects(("IF-MIB", "ifIndex"), ("MIMOSA-NETWORKS-BASE-MIB", "mimosaOldSpeed"), ("MIMOSA-NETWORKS-BASE-MIB", "mimosaNewSpeed"))
if mibBuilder.loadTexts: mimosaEthernetSpeedChange.setStatus('current')
if mibBuilder.loadTexts: mimosaEthernetSpeedChange.setDescription('The mimosaEthernetSpeedChange notification is sent when the log manager in the Mimosa product determines that a speed change on the Ethernet port was detected. The mimosaOldSpeed and mimosaNewSpeed indicates the speed in bits per second of the change. ifIndex is used per the ifTable in the IF-MIB.')
mibBuilder.exportSymbols("MIMOSA-NETWORKS-BASE-MIB", mimosaGenericNotificationsGroup=mimosaGenericNotificationsGroup, mimosaProduct=mimosaProduct, mimosaTempNormal=mimosaTempNormal, mimosa=mimosa, mimosaHardware=mimosaHardware, mimosaConformanceGroup=mimosaConformanceGroup, mimosaNewSpeed=mimosaNewSpeed, mimosaMgmt=mimosaMgmt, mimosaTrapMIBGroup=mimosaTrapMIBGroup, mimosaTrapMessage=mimosaTrapMessage, mimosaB5=mimosaB5, mimosaMIBGroups=mimosaMIBGroups, mimosaOldSpeed=mimosaOldSpeed, mimosaTrap=mimosaTrap, mimosaEthernetSpeedChange=mimosaEthernetSpeedChange, mimosaMib=mimosaMib, mimosaTrapMib=mimosaTrapMib, mimosaTempWarning=mimosaTempWarning, mimosaA5=mimosaA5, mimosaCriticalFault=mimosaCriticalFault, mimosaB5Lite=mimosaB5Lite, mimosaC5=mimosaC5, mimosaWireless=mimosaWireless, PYSNMP_MODULE_ID=mimosa, mimosaSoftware=mimosaSoftware)
|
(integer, object_identifier, octet_string) = mibBuilder.importSymbols('ASN1', 'Integer', 'ObjectIdentifier', 'OctetString')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(single_value_constraint, value_size_constraint, constraints_union, constraints_intersection, value_range_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'SingleValueConstraint', 'ValueSizeConstraint', 'ConstraintsUnion', 'ConstraintsIntersection', 'ValueRangeConstraint')
(if_index,) = mibBuilder.importSymbols('IF-MIB', 'ifIndex')
(object_group, module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ObjectGroup', 'ModuleCompliance', 'NotificationGroup')
(counter32, mib_identifier, mib_scalar, mib_table, mib_table_row, mib_table_column, time_ticks, counter64, enterprises, object_identity, gauge32, ip_address, iso, integer32, unsigned32, bits, notification_type, module_identity) = mibBuilder.importSymbols('SNMPv2-SMI', 'Counter32', 'MibIdentifier', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'TimeTicks', 'Counter64', 'enterprises', 'ObjectIdentity', 'Gauge32', 'IpAddress', 'iso', 'Integer32', 'Unsigned32', 'Bits', 'NotificationType', 'ModuleIdentity')
(textual_convention, display_string) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'DisplayString')
mimosa = module_identity((1, 3, 6, 1, 4, 1, 43356))
mimosa.setRevisions(('2015-06-03 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts:
mimosa.setRevisionsDescriptions(('First draft',))
if mibBuilder.loadTexts:
mimosa.setLastUpdated('201506030000Z')
if mibBuilder.loadTexts:
mimosa.setOrganization('Mimosa Networks www.mimosa.co')
if mibBuilder.loadTexts:
mimosa.setContactInfo('postal: Mimosa Networks, Inc. 300 Orchard City Dr. Campbell, CA 95008 email: support@mimosa.co')
if mibBuilder.loadTexts:
mimosa.setDescription('Mimosa device MIB definitions')
mimosa_product = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 1))
mimosa_mgmt = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 2))
mimosa_hardware = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 1, 1))
mimosa_software = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 1, 2))
mimosa_b5 = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 1, 1, 1))
mimosa_b5_lite = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 1, 1, 2))
mimosa_a5 = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 1, 1, 3))
mimosa_c5 = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 1, 1, 4))
mimosa_trap = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 2, 0))
mimosa_mib = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 2, 1))
mimosa_mib_groups = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 2, 3))
mimosa_conformance_group = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 2, 4))
mimosa_trap_mib = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 2, 1, 1))
mimosa_wireless = mib_identifier((1, 3, 6, 1, 4, 1, 43356, 2, 1, 2))
mimosa_trap_mib_group = object_group((1, 3, 6, 1, 4, 1, 43356, 2, 3, 1)).setObjects(('MIMOSA-NETWORKS-BASE-MIB', 'mimosaTrapMessage'), ('MIMOSA-NETWORKS-BASE-MIB', 'mimosaOldSpeed'), ('MIMOSA-NETWORKS-BASE-MIB', 'mimosaNewSpeed'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
mimosa_trap_mib_group = mimosaTrapMIBGroup.setStatus('current')
if mibBuilder.loadTexts:
mimosaTrapMIBGroup.setDescription('A collection of objects providing basic Trap function.')
mimosa_trap_message = mib_scalar((1, 3, 6, 1, 4, 1, 43356, 2, 1, 1, 1), octet_string()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
mimosaTrapMessage.setStatus('current')
if mibBuilder.loadTexts:
mimosaTrapMessage.setDescription('General Octet String object to contain message sent with traps.')
mimosa_old_speed = mib_scalar((1, 3, 6, 1, 4, 1, 43356, 2, 1, 1, 2), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
mimosaOldSpeed.setStatus('current')
if mibBuilder.loadTexts:
mimosaOldSpeed.setDescription('The speed of the Ethernet link before the change within Ethernet Speed Change Notifications.')
mimosa_new_speed = mib_scalar((1, 3, 6, 1, 4, 1, 43356, 2, 1, 1, 3), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
mimosaNewSpeed.setStatus('current')
if mibBuilder.loadTexts:
mimosaNewSpeed.setDescription('The speed of the Ethernet link after the change within Ethernet Speed Change Notifications.')
mimosa_generic_notifications_group = notification_group((1, 3, 6, 1, 4, 1, 43356, 2, 3, 2)).setObjects(('MIMOSA-NETWORKS-BASE-MIB', 'mimosaCriticalFault'), ('MIMOSA-NETWORKS-BASE-MIB', 'mimosaTempWarning'), ('MIMOSA-NETWORKS-BASE-MIB', 'mimosaTempNormal'), ('MIMOSA-NETWORKS-BASE-MIB', 'mimosaEthernetSpeedChange'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
mimosa_generic_notifications_group = mimosaGenericNotificationsGroup.setStatus('current')
if mibBuilder.loadTexts:
mimosaGenericNotificationsGroup.setDescription('The basic Trap notifications for all Mimosa products.')
mimosa_critical_fault = notification_type((1, 3, 6, 1, 4, 1, 43356, 2, 0, 1)).setObjects(('MIMOSA-NETWORKS-BASE-MIB', 'mimosaTrapMessage'))
if mibBuilder.loadTexts:
mimosaCriticalFault.setStatus('current')
if mibBuilder.loadTexts:
mimosaCriticalFault.setDescription('The mimosaCriticalFault notification is sent when the log manager in the Mimosa product determines that a fault with a critical severity has been detected. The mimosaCriticalFaultLog contains the description of the general error.')
mimosa_temp_warning = notification_type((1, 3, 6, 1, 4, 1, 43356, 2, 0, 2)).setObjects(('MIMOSA-NETWORKS-BASE-MIB', 'mimosaTrapMessage'))
if mibBuilder.loadTexts:
mimosaTempWarning.setStatus('current')
if mibBuilder.loadTexts:
mimosaTempWarning.setDescription('The mimosaTempWarning notification is sent when the log manager in the Mimosa product receives an indication that the temperature is outside the safe range.')
mimosa_temp_normal = notification_type((1, 3, 6, 1, 4, 1, 43356, 2, 0, 3)).setObjects(('MIMOSA-NETWORKS-BASE-MIB', 'mimosaTrapMessage'))
if mibBuilder.loadTexts:
mimosaTempNormal.setStatus('current')
if mibBuilder.loadTexts:
mimosaTempNormal.setDescription('The mimosaTempNormal notification is sent when the log manager in the Mimosa product receives an indication that the temperature is with in the safe range.')
mimosa_ethernet_speed_change = notification_type((1, 3, 6, 1, 4, 1, 43356, 2, 0, 4)).setObjects(('IF-MIB', 'ifIndex'), ('MIMOSA-NETWORKS-BASE-MIB', 'mimosaOldSpeed'), ('MIMOSA-NETWORKS-BASE-MIB', 'mimosaNewSpeed'))
if mibBuilder.loadTexts:
mimosaEthernetSpeedChange.setStatus('current')
if mibBuilder.loadTexts:
mimosaEthernetSpeedChange.setDescription('The mimosaEthernetSpeedChange notification is sent when the log manager in the Mimosa product determines that a speed change on the Ethernet port was detected. The mimosaOldSpeed and mimosaNewSpeed indicates the speed in bits per second of the change. ifIndex is used per the ifTable in the IF-MIB.')
mibBuilder.exportSymbols('MIMOSA-NETWORKS-BASE-MIB', mimosaGenericNotificationsGroup=mimosaGenericNotificationsGroup, mimosaProduct=mimosaProduct, mimosaTempNormal=mimosaTempNormal, mimosa=mimosa, mimosaHardware=mimosaHardware, mimosaConformanceGroup=mimosaConformanceGroup, mimosaNewSpeed=mimosaNewSpeed, mimosaMgmt=mimosaMgmt, mimosaTrapMIBGroup=mimosaTrapMIBGroup, mimosaTrapMessage=mimosaTrapMessage, mimosaB5=mimosaB5, mimosaMIBGroups=mimosaMIBGroups, mimosaOldSpeed=mimosaOldSpeed, mimosaTrap=mimosaTrap, mimosaEthernetSpeedChange=mimosaEthernetSpeedChange, mimosaMib=mimosaMib, mimosaTrapMib=mimosaTrapMib, mimosaTempWarning=mimosaTempWarning, mimosaA5=mimosaA5, mimosaCriticalFault=mimosaCriticalFault, mimosaB5Lite=mimosaB5Lite, mimosaC5=mimosaC5, mimosaWireless=mimosaWireless, PYSNMP_MODULE_ID=mimosa, mimosaSoftware=mimosaSoftware)
|
# Question 3
# Midpoints of a line
x1 = float(input("Enter x of 1st point: "))
y1 = float(input("Enter y of 1st point: "))
x2 = float(input("Enter x of 2nd point: "))
y2 = float(input("Enter y of 2nd point: "))
midpoint_x = abs(x1 + x2) / 2
midpoint_y = abs(y1 + y2) / 2
print("Midpoint of a line: (" + str(midpoint_x) + ", " + str(midpoint_y) + ")")
|
x1 = float(input('Enter x of 1st point: '))
y1 = float(input('Enter y of 1st point: '))
x2 = float(input('Enter x of 2nd point: '))
y2 = float(input('Enter y of 2nd point: '))
midpoint_x = abs(x1 + x2) / 2
midpoint_y = abs(y1 + y2) / 2
print('Midpoint of a line: (' + str(midpoint_x) + ', ' + str(midpoint_y) + ')')
|
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