## logical errors essay

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logical errors essay

## python – What is the reason why this program runs slowly and memory errors occur with large amounts of data

I have a problem with the Rusul, the result is slow and the "memory error" is displayed for large amounts of data

``````def BCS (Eval_Func, m_i = 50, n = 50, minf = 0, dim = none, prog = false, alpha = 0.1, beta = 1.5, param = 0.2):

estim = Eval_Func (). evaluate

if dim == None:
dim = Eval_Func (). check_dimentions (dim)
pa = param
# flag = dr
gens = random_search (n, dim)
fit[float("-inf") if minf == 0 else float("inf") for _ in range(n)]
pos =[0 for _ in range(n)]
g_pos =[0]* dim
g_val = float ("- inf") if minf == 0 otherwise float ("inf")
gens_dict = {tuple ([0]* dim): float ("- inf") if minf == 0 otherwise float ("inf")}
when prog:
Miter = tqdm (range (m_i))
otherwise:
Miter = area (m_i)
for miter:
enumerate for i, g in (gens):
if tuple (g) in gens_dict:
score = gens_dict[tuple(g)]
otherwise:
Score = estimate (g)
gens_dict[tuple(g)]= Score
if score> fit[i] if minf == 0 else score < fit[i]:
fit[i]=score
pos[i]=g

maxfit,maxind=max(fit),fit.index(max(fit))
minfit,minind=min(fit),fit.index(min(fit))
if minf==0:
if maxfit > g_val:
g_val = dc (maxfit)
g_pos = dc (gens[maxind])
otherwise:
if minfit <g_val:
g_val = dc (minfit)
g_pos = dc (gens[minind])

if pa < random.uniform(0,1):
if minf==0:
gens[minind]=[0 if 0.5>random.uniform (0,1) else 1 for _ in range (dim)]#rand_gen ()
fit[minind]= float ("- inf") if minf == 0 otherwise float ("inf")
otherwise:
gens[maxind]=[0 if 0.5>random.uniform(0,1) else 1 for _ in range(dim)]#rand_gen ()
fit[maxind]= float ("- inf") if minf == 0 otherwise float ("inf")

for g in gens:
for d in range (dim):
x = levy_flight (beta, g_pos[d],G[d],Alpha)
if at random.uniform (0,1) < sigmoid(x):
g[d]=1
else:
g[d]=0
return g_val,g_pos,g_pos.count(1)
class Evaluate:
def __init__(self):
self.train_l = tr_y
self.train_d = tr_x
self.test_l = te_y
self.test_d=te_x
self.K = 2
def evaluate(self,gen):
al_data = np.array ([al[mask] for al in self.train_d])
# al_test_data = np.array ([al[mask] for al in self.test_d])
kf = ms.KFold (n_splits = self.K, random_state = 42)
s = 0
for tr_ix, te_ix in kf.split (al_data):
s + = svm.SVR (kernel = "linear", gamma = 0.001, C = 1.0, epsilon = 0.2) .fit (al_data[tr_ix]self.train_l[tr_ix]) .score (al_data[te_ix]self.train_l[te_ix]) #. predict (al_test_data)
s / = self.K
returns
def check_dimentions (self, dim):
if dim == None:
return len (self.train_d[0])
otherwise:
dimming back
def test_score (gen, tr_x, tr_y, te_x, te_y):
mask = np.array (gen) == 1
return np.mean (np.abs (([svm.SVR(kernel = 'linear', gamma=0.001, C=1.0, epsilon=0.2).fit(al_data,tr_y).score(al_test_data,te_y) for i in range(4)]))) * 100
``````

And then I will call Function BCS with this program

``````def fitureSelection (data, column):
Result = []
n = len (column)
for i in the range (0,2):
X = data.loc[data['label']== i].iloc[:,0:n-2]
y = data.loc[data['label']== i].iloc[:,-1]
tr_x, te_x, tr_y, te_y = train_test_split (X, Y, test_size = 0.2, random_state = 42)
sc_X = StandardScaler ()
tr_x = sc_X.fit_transform (tr_x)
te_x = sc_X.fit_transform (te_x)
s, g, l = BCS (Eval_Func = Evaluate, n = 20, m_i = 200)
result.append ("". join (map (str, g)))
Return result
``````

Result

``````['0110111011011111010100101111110100001111100111001001111101000001101011110111001111111110011',

'1100001101001111000010001010010010101001100100110011011111000111100111111100101111011111111']
``````

I hope someone can help me achieve the high performance to run this program and get the result faster.

## apache 2.4 – MultiPHP in XAMPP configuration causes 404 errors

I've followed this answer / guide to configure multiple PHP versions on a Windows server using XAMPP (unfortunately they can not be migrated to Linux yet).

Most of the steps were fine, but after completing the steps, a 403 error is now displayed.

This is my (flown) httpd-xampp file:

``````# I know it's php53, what's a shit - but just roll it
ScriptAlias ​​/ php53 "C: / xampp / php53"
Action Application / x-httpd-php53-cgi /php53/php-cgi.exe

AllowOverride None
Options None
All denied require

Need all granted

SetHandler application / x-httpd-php53-cgi

``````

and then my vhost

``````

Server name php5.local
DocumentRoot "C: / www / php5"
ErrorLog "logs / php5.local-error.log"
CustomLog "logs / php5.local-access.log" in common

AllowOverride All
Need all granted
Options -Indexes + FollowSymLinks + Multiviews

``````

I then restarted my Apache server after making the above changes, but when I go to php5.local, it only shows a 404 error – what's wrong with my script?

Removing the directory material to set the PHP version renders the index.php page I have (just an echo hello world) – so it has something to do with this CGI.

## How can I remove empty output errors in Google Sheets?

I use the following code in many cells of the leaf,

``````= SPLIT (REGEXREPLACE ("" & S2, "( d)", "\$ 1,"), ",")
``````

Not all will contain data at the same time. How do I prevent the hint of empty cell values ​​from being displayed?

## Differential Equations – Errors The expression can not be used as a part specification, simple case, and compound to fit multiple data

So, I have a very simple question that relates to a simple topic, but also directly to an appropriate problem.
I see that my question is related to it [this question] (Minimization with indexes, error: Part :: pkspec1: The expression can not be used as a part specification), but I can not beat the bridge between them.

The basic question is how to create a function that looks like this:

``````list = {{1, 2}, 2, {3, 4, 8, 12}, 4, {2, 2, 2, 2, 2}}
F[x_] = List[[x]]
``````

And I would like to use it in the following context:

``````err[Vinitphi_?NumberQ, l_?NumberQ, nc_?NumberQ, tauC_?NumberQ,
tauG_?NumberQ, D0_?NumberQ, k_] =
With[{model = (Rad /. pfun)[Vinitphi, l, nc, tauC, tauG, D0]},
err[Vinitphi/2^(i - 1), l, nc, tauC, tauG, D0, i], {i, 1, 6, 1}].
5 * 10 ^ 7 <Vinitphi <9 * 10 ^ 7, 20 <1 <25, 0.05 <tauC <0.5,
0.2 <nc <0.8,
4 * 10 ^ (10) <D0 <2 * 10 ^ (11)}, {{Vinitphi, 6 * 10 ^ 7}, {nc, 0,5}, {tauC,
0,2}, {D0, 6 * 10 ^ (10)}}]
``````

Where can I get the error?

Part :: pkspec1: The expression k can not be used as a part specification.

I'm writing ParametricNDSolve in the following appendix, which I'll take care of:

Cecum:

``````rad = {{{0., 117.705}, {3., 148.255}, {6., 176.81}, {9., 183.561}, {12.,
197.419}, {15., 210.672}, {18., 211.152}, {21., 209.889}, {24.
207.741}, {27., 204.352}, {30., 201.79}, {33., 199.976}, {36.,
199.04}, {39., 197.151}, {42., 197.584}, {45., 196.198}, {48.,
195.153}, {51., 195.711}, {54., 194.088}, {57., 193.304}, {60.,
192.474}, {63., 192.13}, {66., 192.877}, {69., 192.371}, {72.,
192.657}, {75., 190.984}, {78., 190.685}, {81., 190.449}, {84.,
189.83}, {87., 189.625}, {90., 194.855}, {93., 186.581}, {96.,
184,735}, {99., 184.586}, {102., 183.505}, {105., 181.531}, {108.,
179,925}, {111., 178,428}, {114., 176,164}, {117., 175,375}, {120.
174.782}, {123., 172.649}, {126., 170.454}, {129.,
168.357}, {132., 168.04}, {135., 167.26}, {138., 165.657}, {141.,
164.797}, {144., 163.705}, {147., 161.214}, {150., 160.5}, {153.,
159,353}, {156., 157.873}, {159., 157.225}}, {{0., 51.7792}, {3.,
80.825}, {6., 108.913}, {9., 121.147}, {12., 130.805}, {15.,
140, 562}, {18, 143, 615}, {21, 146, 513}, {24, 147, 63}, {27,
147,12}, {30, 146,693}, {33., 147,396}, {36., 148,256}, {39.
147.737}, {42., 148.685}, {45., 149.043}, {48., 147.814}, {51.,
148.776}, {54., 147.959}, {57., 147.775}, {60., 148.031}, {63.,
148,284}, {66, 148,334}, {69, 148,521}, {72, 148,974}, {75.
146,562}, {78., 145.734}, {81., 145.177}, {84., 145.588}, {87.,
144,949}, {90, 147, 035}, {93, 141, 755}, {96, 140, 841}, {99,
139.94}, {102., 138.25}, {105., 136.508}, {108., 135.52}, {111.
133.758}, {114., 132.694}, {117., 131.744}, {120., 131.208}, {123.,
130,292}, {126., 127.612}, {129., 126.981}, {132.,
127,035}, {135, 125,198}, {138, 123,557}, {141, 123,946}, {144,
120,738}, {147, 119,875}, {150, 118,828}, {153,
118.162}, {156., 117.363}, {159., 116.712}, {{0., 29.62}, {3.,
53.1414}, {6., 67.2233}, {9., 82.5676}, {12., 83.5019}, {15.,
92.3142}, {18., 98.9869}, {21., 102.557}, {24., 106.481}, {27.,
107.188}, {30., 107.637}, {33., 108.415}, {36., 109.622}, {39.,
110,593}, {42., 111.205}, {45., 111.396}, {48., 111.668}, {51.,
114.126}, {54., 113.3}, {57., 114.27}, {60., 114.849}, {63.,
110.808}, {66., 116.51}, {69., 118.796}, {72., 119.636}, {75.,
118.02}, {78., 116.026}, {81., 116.767}, {84., 116.994}, {87.,
119, 169}, {90, 121,246}, {93, 116,291}, {96, 117,296}, {99,
117.72}, {102., 115.814}, {105., 114.76}, {108., 114.853}, {111.,
113.886}, {114., 112.522}, {117., 112.109}, {120., 112.376}, {123.,
110,998}, {126., 109.708}, {129., 108.926}, {132.,
108,075}, {135., 107.182}, {138., 106.723}, {141., 106.562}, {144.,
103.807}, {147., 102.798}, {150., 102.333}, {153.,
101.633}, {156., 100.395}, {159., 99.889}}, {{0., 79.5768}, {3.
86.0729}, {6., 101.334}, {9., 103.158}, {12., 104.818}, {15.,
104.534}, {18., 104.361}, {21., 105.568}, {24., 107.109}, {27.,
105,042}, {30., 105.165}, {33., 107.669}, {36., 108.182}, {39.
108,549}, {42., 109.208}, {45., 109.714}, {48., 110.098}, {51.,
110.481}, {54., 110.373}, {57., 110.563}, {60., 111.115}, {63.,
111.766}, {66., 112.415}, {69., 113.322}, {72., 113.272}, {75.,
113,95}, {78., 113,98}, {81., 114,017}, {84., 111,879}, {87.,
114.706}, {90., 112.125}, {93., 109.696}, {96., 112.481}, {99.,
109,528}, {102., 108.22}, {105., 108.112}, {108., 107.387}, {111.
106,369}, {114., 106.522}, {117., 105.678}, {120., 111.234}, {123.,
109,391}, {126., 104.95}, {129., 109.079}, {132., 109.363}, {135.,
100,807}, {138., 99.9696}, {141., 100.622}, {144., 99.789}, {147.,
98.5068}, {150., 99.6161}, {153., 97.4872}, {156.,
101.554}, {159., 101.406}, {{0., 30.4597}, {3., 35.889}, {6.
45.7724}, {9., 54.0641}, {12., 56.851}, {15., 59.1402}, {18.
61.0664}, {21., 63.1851}, {24., 65.2428}, {27., 66.6239}, {30.,
67.5882}, {33., 68.5353}, {36., 69.885}, {39., 71.1742}, {42.,
72.485}, {45., 73.2793}, {48., 74.2798}, {51., 74.7271}, {54.,
74.8248}, {57., 75.83}, {60., 76.1228}, {63., 77.5324}, {66.,
76.4005}, {69., 77.5578}, {72., 80.4519}, {75., 80.1548}, {78.,
80.1533}, {81., 79.2626}, {84., 79.6456}, {87., 79.5882}, {90.,
78,9125}, {93., 77.5023}, {96., 80.9046}, {99., 78.125}, {102.,
78.1087}, {105., 82.0064}, {108., 80.6066}, {111., 82.9245}, {114.,
83.6384}, {117., 82.0775}, {120., 81.1198}, {123., 75.248}, {126.,
78.1893}, {129., 72.6991}, {132., 72.683}, {135., 80.5139}, {138.,
83.442}, {141., 81.0871}, {144., 80.1472}, {147., 79.3543}, {150.,
79.0979}, {153., 79.0636}, {156., 78.3953}, {159.,
77.2895}}, {{0., 27.5731}, {3., 27.4456}, {6., 37.2589}, {9.,
40,9683}, {12, 43,2509}, {15, 44,3384}, {18, 46,5891}, {21.
48.0219}, {24., 49.6954}, {27., 51.1536}, {30., 51.7754}, {33.,
53.2019}, {36., 54.9082}, {39., 55.9732}, {42., 57.3092}, {45.,
58.6397}, {48., 58.9803}, {51., 58.6734}, {54., 60.6691}, {57.,
61.3107}, {60., 62.1459}, {63., 63.2534}, {66., 64.1169}, {69.,
64.7201}, {72., 65.4561}, {75., 65.7958}, {78., 65.9518}, {81.,
66,9163}, {84., 67.5038}, {87., 64.925}, {90., 69.8176}, {93.,
65.8334}, {96., 69.2665}, {99., 66.6777}, {102., 65.9855}, {105.,
69.4403}, {108., 70.2052}, {111., 69.9442}, {114., 70.7562}, {117.
70.3714}, {120., 63.5385}, {123., 62.8021}, {126.,
67.0399}, {129., 61.5096}, {132., 63.1028}, {135., 70.3602}, {138.,
70.2032}, {141., 69.4146}, {144., 68.2243}, {147.
67.9524}, {150., 67.8477}, {153., 68.2036}, {156., 68.2165}, {159.,
67.5863}}}

pfun = ParametricNDSolve[{Derivative[1][V][
t]    == - ((
D0 (E ^ (- ((L + tv) ^ 2 / (4 D0t))) (-L + tv) Vinitphi) / ((D0t) ^ (
3/2) * 4 * Sqrt[Pi]* phi0)) + (
2 Vphi
2 (1 - Vphi
phic) ^ 2 tauC V
1/3)) - (-nc V
4 l L nL0 [Pi] csch[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi
2 V
2 ^ (2/3) l)](-E ^ (- (a Vphi
l ^ 2 Sinh[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi
1/3)) (V
E ^ (- (a Vphi
cosh[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi
V
2/3))) / (-L Coth[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi
2 V
2 ^ (2/3) l)]+ ((3 / [Pi]) ^ (1/3)
coth[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi
V
TauG, V[eps] == 10,
derivative[1][Vphi][
t]    == - ((D0 (E ^ (- ((L + tv) ^ 2 / (4 D0 t)))) (-L + tv) Vinitphi) / (
4 * Sqrt[Pi]* phi0 (D0 t) ^ (3/2))) + ((
VPHI
4 l L nL0 [Pi] csch[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi
2 V
2 ^ (2/3) l)](-E ^ (- (a Vphi
l ^ 2 Sinh[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi
1/3)) (V
E ^ (- (a Vphi
cosh[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi
V
2/3))) / (-L Coth[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi
2 V
2 ^ (2/3) l)]+ ((3 / [Pi]) ^ (1/3)
coth[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi[((E^(((aVphi
V
V
wheel[eps] == 3/4 Pi}, {V, Vphi, Rad}, {t, eps, 170}, {Vinitphi, l,
nc, tauC, tauG, D0},
Method -> {"EquationSimplification" -> "Residual"}]
``````

You can check if my initial guess is not bad:

## Find primes, memory errors

I tried writing Sieve for the first time and came up with that code

``````def sie (num):
pay = set (range (3, num, 2))
for i in range (3, num // 2, 2):
num_set = set (range (2 * i, num, i))
numbers = numbers - num_set
Return list (sorted ((2, * numbers)))
``````

The problem is this `num> 10 ** 6` The time to create primes increases.

Even when I tried `num = 10 ** 8` My computer stopped working, made unpleasant sounds, and I had to restart it.

I think the problem is that I'm dealing with sets. For large numbers (for example in `num = 10 ** 8` In this case, the set can not be created because my computer can not process as much information and therefore stops it.

Is there a way to solve this memory or time problem with my code or should another algorithm be used?

## Stops dropdown box errors in Google Sheets

So I'm trying to use the drop-down menus to restrict people's input, but there's a formula that lets those cells be populated with information that people do not want to enter. This is fine with the formula, but the problem is that an error message will be displayed when triggered, as this input option is not included in the drowning list. Is it possible to either stop the error from occurring or solve another problem so as not to display the red triangle in the corner of the cell?

## magento2 – Apple Pay with magento Received errors

I have implemented Apple Pay in my Magento store. I'm creating a button and would like to have a valid chat, but when I call the endpoint I get this error

• before that, the knot made progress. The necklace was in line with the normal one `UpdateTip`
• then constant errors 2019-06-14T01: 16: 54Z ERROR: AcceptBlockHeader: Block 0000000000000000000104e5800f4ea259c5ab92a18e15320d8879d6c9e09e5b are marked as invalid. No `UpdateTip` Events for days.
`bitcoind --version` Bitcoin Core Daemon Version v0.18.99.0-257f750cd