When the sel is 01 the b should be chosen, but why the operation is a = nsel1 b = sel[0]? After that the sel will become 00 from 01
CHIP DMux4Way {
IN in, sel[2];
OUT a, b, c, d;
PARTS:
// Put your code here:
Not(in = sel[0], out = nsel0);
Not(in = sel[1], out = nsel1);
And(a = nsel1, b = nsel0, out = s00);
And(a = in, b = s00, out = a);
And(a = nsel1, b = sel[0], out = s01);
And(a = in, b = s01, out = b);
And(a = sel[1], b = nsel0, out = s10);
And(a = in, b = s10, out = c);
And(a = sel[1], b = sel[0], out = s11);
And(a = in, b = s11, out = d);
}
I just figured it out because the hack uses little endian.
In each pair of ANDs, the first one determines whether the output is activated, and the second one gates the input to that output.
So:
And(a = nsel1, b = nsel0, out = s00);
s00 is True only if both its inputs (nsel0 and nsel1) are True. Since they are the inverse of sel[0] and sel[1], s00 will only be true if both sel[0] and sel[1] are False.
And(a = in, b = s00, out = a);
The second And will only be true if both in and s00 are True. So it will only be True if in is True, and sel[0] and sel[1] are False.
Similar logic applies for the other cases. But the key point is that for the 01 and 10 cases, it is not enough to check that the right value is True, you also have to check that the other value is 0.
Edit: In addition, as the OP points out in a subsequent comment, the machine is little-endian, and you must keep this in mind when operating on a multi-bit bus (like sel).
Related
(select A from 'TableB' where C = c and G = g)
intersect
(select A from 'TableB' where C = d and G = h)
First of all, because Mysql does not provide an intersect operator, I changed the query statement written above as follows.
select A
from 'TableB'
where C = c and G = g and A in(
select A
from 'TableB'
where C = d and G = h)
I want to use MongoDB to get the same result as above.
Is there any other way??
let mongoQuery = {
$and:[
{C: c},
{D: d},
{G: g},
{G: h}
]
};
const result = await TableB.find(mongoQuery, {A: 1});
This query will return only elements from 'A' that matches C=c, D=d, G=h, G=g
Hope it helps
I am trying to find three parameters (a, b, c) to fit my experimental data using ODE solver and optimization by least squares using Scilab in-built functions.
However, I keep having the message "submatrix incorrectly defined" at line "y_exp(:,1) = [0.135 ..."
When I try another series of data (t, yexp) such as the one used in the original template I get no error messages. The template I use was found here: https://wiki.scilab.org/Non%20linear%20optimization%20for%20parameter%20fitting%20example
function dy = myModel ( t , y , a , b, c )
// The right-hand side of the Ordinary Differential Equation.
dy(1) = -a*y(1) - b*y(1)*y(2)
dy(2) = a*y(1) - b*y(1)*y(2) - c*y(2)
endfunction
function f = myDifferences ( k )
// Returns the difference between the simulated differential
// equation and the experimental data.
global MYDATA
t = MYDATA.t
y_exp = MYDATA.y_exp
a = k(1)
b = k(2)
c = k(3)
y0 = y_exp(1,:)
t0 = 0
y_calc=ode(y0',t0,t,list(myModel,a,b,c))
diffmat = y_calc' - y_exp
// Make a column vector
f = diffmat(:)
MYDATA.funeval = MYDATA.funeval+ 1
endfunction
// Experimental data
t = [0,20,30,45,75,105,135,180,240]';
y_exp(:,1) =
[0.135,0.0924,0.067,0.0527,0.0363,0.02445,0.01668,0.012,0.009]';
y_exp(:,2) =
[0,0.00918,0.0132,0.01835,0.0261,0.03215,0.0366,0.0393,0.0401]';
// Store data for future use
global MYDATA;
MYDATA.t = t;
MYDATA.y_exp = y_exp;
MYDATA.funeval = 0;
function val = L_Squares ( k )
// Computes the sum of squares of the differences.
f = myDifferences ( k )
val = sum(f.^2)
endfunction
// Initial guess
a = 0;
b = 0;
c = 0;
x0 = [a;b;c];
[fopt ,xopt]=leastsq(myDifferences, x0)
Does anyone know how to approach this problem?
Just rewrite lines 28,29 as
y_exp = [0.135,0.0924,0.067,0.0527,0.0363,0.02445,0.01668,0.012,0.009
0,0.00918,0.0132,0.01835,0.0261,0.03215,0.0366,0.0393,0.0401]';
or insert a clear at line 1 (you may have defined y_exp before with a different size).
Hi this is a link list reverse code. Anyone can help me understand that the differecen between r = Solution().reverseList(n1) and r = Solution().reverseList(ListNode(1)).
I wonder why the output which is [1] and [3,2,1] respectively and what is the purpose of to assign the ListNode object to a variable.
class Solution(object):
def reverseList(self, head):
"""
:type head: ListNode
:rtype: ListNode
"""
#if not head:
# return None
prev = head
curr = prev.next
while curr:
next =curr.next
curr.next = prev
prev = curr
curr = next
head.next = None
return prev
class ListNode(object):
def __init__(self,x):
self.val = x
self.next = None
def to_list(self):
return[self.val] + self.next.to_list() if self.next else [self.val]
if __name__ == "__main__":
n1 = ListNode(1)
n2 = ListNode(2)
n3 = ListNode(3)
n1.next = n2
n2.next = n3
r = Solution().reverseList(n1)
print r.to_list()
#assert r.to_list() == [3,2,1]
I understood now.
ListNode(1) has no "next" set, so it will forever return 1 as it's list, whereas n1 starts the same way (as just node of 1), but the "next" attribute is set to node of 2 whose "next" is set to node of 3, so n1 carries all of this information with it, and ListNode(1) does not.
welcome any comments.
I have found many times a solution for my problems from here, but this time I am totally baffled. I don't know what's wrong at my code.
I made a code to create a box with charged particles inside with Vpython. As I launch the program, I get only a grey screen and the program crash. No error message, nothing.
from visual import *
from random import *
def electronizer(num):
list = []
electron_charge = -1.60217662e-19
electron_mass = 9.10938356e-31
for i in range(num):
another_list = []
e = sphere(pos=(random(), random(),random()), radius=2.818e-15,
color=color.cyan)
e.v = vector(random(), random(), random())
another_list.append(e)
another_list.append(e.v)
another_list.append(electron_charge)
another_list.append(electron_mass)
list.append(another_list)
return list
def protonizer(num):
list = []
proton_charge = 1.60217662e-19
proton_mass = 1.6726219e-27
for i in range(num):
another_list = []
p = sphere(pos=(random(), random(),random()), radius=0.8408739e-15, color=color.red)
p.v = vector(random(), random(), random())
another_list.append(p)
another_list.append(p.v)
another_list.append(proton_charge)
another_list.append(proton_mass)
list.append(another_list)
return list
def cross(a, b):
c = vector(a[1]*b[2] - a[2]*b[1],
a[2]*b[0] - a[0]*b[2],
a[0]*b[1] - a[1]*b[0])
return c
def positioner(work_list):
k = 8.9875517873681764e3 #Nm2/C2
G = 6.674e-11 # Nm2/kg2
vac_perm = 1.2566370614e-6 # H/m
pi = 3.14159265
dt = 0.1e-3
constant = 1
force = vector(0,0,0)
for i in range(len(work_list)):
for j in range(len(work_list)):
if i != j:
r = work_list[i][0].pos - work_list[j][0].pos
r_mag = mag(r)
r_norm = norm(r)
F = k * ((work_list[i][2] * work_list[j][2]) / (r_mag**2)) * r_norm
force += F
B = constant*(vac_perm / 4*pi) * (cross(work_list[j][2] * work_list[j][1], norm(r)))/r_mag**2
F = cross(work_list[i][2] * work_list[i][1], B)
force += F
F = -(G * work_list[i][3] * work_list[j][3]) / r_mag**2 * r_norm
force += F
acceleration = force / work_list[i][3]
difference_in_velocity = acceleration * dt
work_list[i][1] += difference_in_velocity
difference_in_position = work_list[i][1] * dt
work_list[i][0].pos += difference_in_position
if abs(work_list[i][0].pos[0]) > 2.5e-6:
work_list[i][1][0] = -work_list[i][1][0]
elif abs(work_list[i][0][1]) > 2.5e-6:
work_list[i][1][1] = -work_list[i][1][1]
elif abs(work_list[i][0][2]) > 2.5e-6:
work_list[i][1][2] = -work_list[i][1][2]
return work_list
box = box(pos=(0, 0, 0), length = 5e-6, width = 5e-6, height = 5e-6, opacity = 0.5)
protons_num = raw_input("number of protons: ")
electrons_num = raw_input("number of electrons: ")
list_of_electrons = electronizer(int(electrons_num))
list_of_protons = protonizer(int(protons_num))
work_list = list_of_electrons + list_of_protons
while True:
work_list = positioner(work_list)
You should ask your question on the VPython.org forum where the VPython experts hang out and will be able to answer your question. You should mention which operating system you are using and which version of python you are using. From your code I see that you are using classic VPython. There is a newer version of VPython 7 that just came out but the VPython syntax has changed.
I want to set values depends on the selected radio button and to use that values in other function.
Whatever i try, i always get the same answer
NameError: global name 'tX' is not defined #
import maya.cmds as cmds
from functools import partial
winID='MSDKID'
def init(*args):
print tX
print tY
print tZ
print rX
print rY
print rZ
return
def prozor():
if cmds.window(winID, exists = True):
cmds.deleteUI(winID);
cmds.window()
cmds.columnLayout( adjustableColumn=True, rowSpacing=10 )
cmds.button(label = "Init")
cmds.button(label = "MirrorSDK",command=init)
cmds.setParent( '..' )
cmds.setParent( '..' )
cmds.frameLayout( label='Position' )
cmds.columnLayout()
collection2 = cmds.radioCollection()
RButton0 = cmds.radioButton( label='Behavior' )
RButton1 = cmds.radioButton( label='Orientation' )
cmds.button(l='Apply', command = partial(script,RButton0,RButton1,))
cmds.setParent( '..' )
cmds.setParent( '..' )
print script(RButton0,RButton1)
cmds.showWindow()
def script(RButton0,RButton1,*_cb_val):
X = 0
rb0 = cmds.radioButton(RButton0, q = True, sl = True)
rb1 = cmds.radioButton(RButton1,q = True, sl = True)
if (rb0 == True):
tX = -1
tY = -1
tZ = -1
rX = 1
rY = 1
rZ = 1
if (rb1 == True):
tX = -1
tY = 1
tZ = 1
rX = 1
rY = -1
rZ = -1
return tX,tY,tZ,rX,rY,rZ
prozor()
The variables you are defining in script() are local to that function. The other functions don't see them.
If you need multiple UI elements to share data, you'll probably need to create a class to let them share variables. Some reference here and here