The confirmation of the e-mail address takes too long.

Hello, WHT.

I have a forum site with WordPress where users register with their email address.
During registration, the confirmation e-mail should arrive in the corresponding e-mail inboxes.

Why does it take too long for every attempt to register as a user on my website until the email confirmation arrives?
Like 1-2-3 hours or even more.

Is this problem coming from webhosting?
Is that normal?
Am I missing something?

Greetings.

magento2 – Order failed after entering another billing address. Magento 2

• The counterfeit information can not be verified yet because you can not place an order with a different billing address
• It looks like Magento is trying to enter the first and last name of the billing address (we never had the option of entering another name). Is this a Magento error? If Magento, can we disable it? If not, can we always have the name = the delivery name … and just not display it? Error message: Please check whether the information on the billing address first name is a mandatory field. Last name is a required field.

I appreciated your help very much.

python – Gets the formatted address in the stack along with the geometry (lat / long) and prints it to csv

I have a CSV file with 3 fields, two of which are of interest to me dealer name and city,
My goal was to output several CSV files, each with 6 fields, dealer name. city. Surname. formatierte_Adresse. width. degree of longitude,

For example, if an entry is the CSV Starbucks, ChicagoI would like the output CSV to contain all the information in the 6 fields (as mentioned above) as follows:
Starbucks, Chicago, Starbucks, "200 S Michigan Ave, Chicago, IL 60604, USA", 41.8164613, -87.8127855.
Starbucks, Chicago, Starbucks, "8N Michigan Ave, Chicago, IL 60602, USA", 41.8164613, -87.8127855
and so on for the rest of the results.

I used the text search request from the Google Maps Places API to do this. Here is what I wrote.

import pandas as pd
# import googlemaps
import requirements
# Import csv
# Import pprint as pp
to fall asleep now and then
import randomly


def search_output (search):
if len (data['results']) == 0:
print (& # 39; No results found for {}. & # 39;. format (search))

otherwise:

# Create CSV file
Filename = search + & # 39; .csv & # 39;
f = open (filename, "w")

size_of_json = len (data['results'])

# Get the next page token
# if size_of_json = 20:
# next_page = data['next_page_token']

        for i in range (size_of_json):
Name = data['results'][i]['name']
            
            
            
            Address = data['results'][i]['formatted_address']
            
            
            
            Latitude = data['results'][i]['geometry']['location']['lat']
            
            
            
            Length = data['results'][i]['geometry']['location']['lng']

            

            

            

            f.write (name.replace (& # 39;, & # 39 ;, & # 39;) + & # 39 ;, + address.replace (& 39 ;, & # 39; ;, & # 39;) + & # 39; + & gt; + str (width) + & # 39 ;, & # 39; + str (longitude) + & # 39; & # 39; ;)

f.close ()

print (& # 39; file successfully saved for "{}". & # 39; format (search))

sleep (random.randint (120, 150))


API_KEY = & # 39; your_key_here & # 39;

PLACES_URL = & # 39; https: //maps.googleapis.com/maps/api/place/textsearch/json? & # 39;


# Create data frame
df = pd.read_csv (& # 39; merchant.csv & # 39 ;, usecols =[0, 1])

# Create a search query
search_query = df['Merchant_Name'].astype (str) + & # 39; & # 39; + df['City']
search_query = search_query.str.replace (& # 39; & # 39 ;, & # 39; & # 39;

random.seed ()

to search in search_query:
search_req = & # 39; query = {} & key = {} & # 39 ;. format (search, API_KEY)
request = PLACES_URL + search_req

# Make inquiry and data in & # 39; dates & # 39; to save
Result = Inquiries.get (request)
data = result.json ()

Status = data['status']

    if status == & # 39; OK & # 39 ;:
search_output (search)
elif status == & # 39; ZERO_RESULTS & # 39 ;:
print (& # 39; No results for "{}". Moving on .. & # 39; format (search))
sleep (random.randint (120, 150))
elif status == & # 39; OVER_QUERY_LIMIT & # 39 ;:
print (& # 39; Query limit reached! Try after some time. "{}" could not be completed. & # 39;. format (search))
break
otherwise:
Print (status)
print (& # 39; ^ status out of order, try again. "{}" could not be completed. & # 39;. format (search))
break

I want to implement the next page token, but I can not think of a method that will not mess things up. Another thing I want to improve is my CSV writing pad. And handle redundancy.
I still plan to concatenate all CSV files (but still keep the original separate files).

Please note that I'm new to programming. In fact, this is one of my first programs that has helped me achieve something. So please elaborate something more, if need be. Many Thanks!

address – TXID is generated from the transaction data

As far as I know, we can generate a TXID by hashing transaction data twice over SHA256. As you probably know, a Bitcoin transaction is just a data packet that describes the movement of bitcoins.

In order to search for a TXID in the blockchain, we should look for it in reverse byte order.

I tried using this directive to generate a TXID for some example TX messages, but I did not find them in Blockchain Explorers.

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.net – Retrieve client IP address that is not spoofed

Of course, this only applies to HTTP, because it is an HTTP header.

It is also based on a proxy server that does not try to hide that it is a proxy server. It does not work with clients using VPN. It does not work for clients that use a proxy that does not display itself. It does not work for clients who set up a TLS session CONNECT via a proxy.

In short, it does not provide real security but may be useful for statistical purposes or the like. It's like politely asking the client who he is and expecting him to respond truthfully.

You can rest assured that REMOTE_ADDR is the host that actually sends you the traffic. This is essentially ensured by the three-way handshake of TCP / IP.

You can not be sure who prompted the remote address to connect. You can not be sure if this remote host is a VPN terminator. You can not know if it's a proxy. You can not tell if it's part of a botnet.

Why we need the size of the page table should be a fraction of the virtual address space

The page table should have all the virtual page numbers that are in their logical address space. Why is that?

  1. Is it because we want to access page table Typing fast as with an array where the key is the virtual page number, d. H. the constant time?

Or

  1. Is it the structure of the process? (I mean, our program uses the entire logical space 0 we have code and at the address Max We have a stack that is variable. Which means can refer to any address of the logical address space?

Privacy – If you use a shared / public VPN, can other users with the same IP address log in to your accounts?

I know that browsers use cookies. For example, if I log in to Facebook on a public computer and forget to log out, the next person opening a new browser can switch to my account.

This works the same way for shared VPNs, especially sites that are not https? Can someone on the same VPN network tap your traffic and cookies to gain access to your private accounts?

nmap – I've done an IP scan on a network and I can see that the IP address can be scanned, but I can not ping the device

I made a change to a serial to ethernet converter, and the device is no longer pingable or accessible through the web interface. However, when I perform an IP scan, NMAP makes this change as follows:

Nmap Scan report for 192.168.0.10
The host is active (0.00069s latency).
All 1000 scanned ports on 192.168.0.10 are filtered
MAC Address: 00: 90: E8: 73: 1F: 16 ​​(Moxa Technologies)

Says the host is active, but I can not connect? Is this just cached? or I miss something here