This docs seems to be outdated. The code above seems to have moved to AuthServericeProvider and there is already the original code that returns the URL in the email. That can be modified to get the desired URL.
@Guy i am also having same issue ,on how to inject my token to my build hasuraprovider have you found any solution if yes can you post it here ,Thanks in advance
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This can be the configuration error on php.ini on your local server. Try uncommenting relevent statement on the file. For an example, if your database is MYSqlite, you have to uncomment "extension=pdo_sqlite" in php.ini file.
This is wrt to your path error, try storing your dataset inside a folder and open the python script in same folder, at that time u dont need to path, u can just load ur dataset directly by calling the name of the file
Digital marketing is basically promoting products, services, or brands using online platforms and tech. Instead of old-school stuff like billboards or TV ads, it’s all about reaching people where they hang out—think websites, social media, emails, or search engines like Google.
if we speak about how it works. You’ve got social media (Instagram, X, etc.), SEO (getting found on Google), paid ads (like Google Ads or Facebook Ads), email campaigns, and even content like blogs or videos. It’s about grabbing attention, building interest, and turning that into sales or loyal fans—usually tracked with data like clicks or conversions.
The Hint for me was wrt a project within a project.
I was "all thumbs" I think. I had accidently copied one console app project into the main library project that is sahred in all proects in the solution! Just deleted and all is good.
"azure_pg_admi" is not the highest level role in Azure PosetgreSQL Database.
Superuser Role: A superuser role in PostgreSQL has unrestricted access to all aspects of the database and can perform any action (including the ability to alter server-level configurations, manage all roles (including granting superuser privileges), and bypass all security checks).
Admin(azure_pg_admi) Role: Even though it’s an admin role, it is not the same as a PostgreSQL Superuser and has some restrictions. It lacks true superuser access and is restricted from certain system-level configurations and internal functions that a superuser can manage.
Since the "azure_pg_admi" role does not have superuser privileges, this is why you're encountering permission issues when trying to modify ownership of a database or perform other administrative tasks.
A superuser role is required to change database ownership or perform certain other high-level operations in PostgreSQL.
In Azure Database for PostgreSQL (which is a managed service), superuser access is not granted to customers under normal circumstances. Azure maintains tight control over the server-level operations and infrastructure to ensure security, stability, and consistency of the service. In reference to this,
you can also check the Microsoft documentation that I've attached where this is clearly mentioned:
Have you tried manually configuring the client to use HTTPS?
Since you don't wanna modify WildFly configuration but still need the client to connect over HTTPS, you should override the connection factory settings manually in your client code.
Additionally, if you replace the memcpyAsync (Device to Host) operation with memcpy2DAsync (Device to Host), you can confirm that it runs in parallel. This makes it more confusing for me.
I think the package https://pypi.org/project/nonesafe/ does what you want, full disclosure I'm the author :). I had similar problems when processing external JSON data and had tried both Pandas and Pydantic, but was not happy with either solution. Take a look at the Motivation section of the README, in particular read/modify/write example at the end of the Motivation section.
I filter out the Nan or Null values first and use 0 as the value for them in the new columns.
import numpy
df["min"] = df[df["values"].notnull()]["values"].map(lambda x: int(minimum) if x and (minimum:=str(x).split(" - ")[0]) else 0)df["max"] =
df[df["values"].notnull()].map(lambda x: int(maximum) if x and " - " in str(x) and (maximum:=str(x).split(" - ")[1]) else 0)
However, the columns have a .0 decimal point. How to get rid of it?
Hi, I opened a new terminal (it automatically entered the venv I had running), this is what pip list shows me. However, it is still not running for me.
My project was running fine on the simulator, but not on the device. After some troubleshooting, I discovered that my phone's storage was full, which was causing the issue. Once I deleted some images and videos, the project started running on the device again.
Under repo Setting , Mirror Settings , Authorization. Ignore the Username , replace Password with new access token. Save setting with the Update Mirror Settings button below.
To set up disaster recovery for your Azure Data Factory (ADF) instances located in France and Germany, ensuring that both can connect and function as alternatives in case of failure, you can implement the following strategy:
Follow the below steps to setup disaster recovery for azure data factory:
Step1:
Install SHIR on your On-Premises Machine and start by downloading the SHIR installation package from the Azure portal. Now Install the SHIR on your on-premises machine, to meet all system requirements.
Step2:
Register SHIR with the First ADF Instance to Access the Azure portal and navigate to the first ADF instance. Now
Go to Manage > Integration > Runtimes > +New and select Self-Hosted and proceed with the registration process. Copy the provided authentication key and enter it into the SHIR configuration on your on-premises machine.
Step3:
Register SHIR with the Second ADF Instance and Repeat the registration process for the second ADF instance. Navigate to the second ADF instance in the Azure portal.
Go to Manage > Integration > Runtimes > +New. Click on Self-Hosted and follow the process to register the SHIR. once doe this process Configure the SHIR on your on-premises machine and create a new authentication key for the second instance.
Step4:
Avoid Linked Integration Runtimes and Do not use linked IRs if you need both ADF instances to function independently. Linked IRs may fail if one IR is unavailable, which is not suitable for your disaster recovery needs.
Step5:
To ensure continuous operation, implement high availability for the SHIR. This will provide redundancy and ensure that ADF instance can access the SHIR independently, even if one instance goes down.
Step6:
Regularly check for updates to the SHIR installation. Keeping the SHIR up to date will help you benefit from the latest features, performance improvements, and security patches.
Note: Please refer these articles, article1, article2, article3 for more information on setting up and configuring a Self-Hosted Integration Runtime (SHIR) in Azure Data Factory.
I ran the command suggested: openssl s_client -connect registry.npmjs.org:443 -cipher AESGCM <NUL. However, I got the error: Verify return code: 20 (unable to get local issuer certificate).
The CA certificate was missing. So, I followed these steps:
I installed the certificate from here. "GTS Root R4" certificate is used by npmjs.org
Added certificate path using this command setx NODE_EXTRA_CA_CERTS <path to certificate>
Verified the path using this command node -p "process.env.NODE_EXTRA_CA_CERTS"
If the correct file path is displayed, the setting was applied successfully.
telegram allows to send more than 2GB for premium users so if you wanna send more than 2GB buy premium and then you will can send media up to 4GB using telethon
Under the Gallery Data Source, select Power BI as the source:
Then, in the Gallery, add a text box for the information for each item you want to display. For example to display the Material for each item that is pulled in from Power BI, Text = ThisItem.Material
To the 2 people who have answered thank you for answering so fast (dbush, Mark Tolonen)
Dbush, your answer probably helped me the most. A function called rewind (not even frewind?) would not have been found by me or anyone possibly visiting.
Mark, do you use python a lot? You tried commenting with #.
I think the problem is with the terminal provided by the VS Code. Something is interfering with the running of the React App. I have used the Windows Command Prompt in the respective folder and ran it, now the react app loads faster to me. For now, just use the CMD until a fix arrives to this issue.
Parquet files would not be a good fit for your use-case of frequently modifying file contents because parquet files are immutable.
Meaning you would need to re-create the entire parquet file from scratch each time you wanted to "delete the data for user11" or make any other changes to the data. Making this file format extremely inefficient when data needs frequent modifications.
Parquet is more suited for bulk read/write operations where data isn't frequently modified.
Generally, in asp.net core Razor page, we are using the <select> tag helper. So, you can try to use it, refer to the following code:
In the Country.cshtml.cs file: before returning select options list to client or ViewBag, use HttpUtility.HtmlDecode() method to decode the text and convert COTE D'IVOIRE to COTE D'IVOIRE.
public class CountryModel : PageModel
{
public string Country { get; set; }
public List<SelectListItem> Countries { get; set; }
public void OnGet()
{
Countries = new List<SelectListItem>
{
new SelectListItem { Value = HttpUtility.HtmlDecode("COTE D'IVOIRE"), Text = HttpUtility.HtmlDecode("COTE D'IVOIRE") },
new SelectListItem { Value = "Mexico", Text = "Mexico" },
new SelectListItem { Value = "Canada", Text = "Canada" },
new SelectListItem { Value = "USA", Text = "USA" },
new SelectListItem { Value = "COTE D'IVOIRE", Text = "COTE D'IVOIRE" },
};
}
}
Country.cshtml: Use the Html.Raw() method to decode the text and use foreach statement to display the options
About the <formselect>, whether it is a custom tag helper (create by yourself) or a third-party component? If it is created by yourself, when display the value, you could use the above method to decode the value. If you are using third-party components, can you tell us which package you are using?
I did increase the executors from Manage Jenkins> Manage Nodes> configure button and increase the number of executor.
For me issue was observed as disk space was problematic as was also shown in Jenkins nodes option. Freed up disk space and then manually selected option to a make node online, restarted Jenkins and it worked.
Main to Ham garib hun Meri madad kijiye Meri ab to chuki Nahin kapde Nahin nind a Rahi hai Eid ke liye kapde Lene hai mere pass kuchh bhi Nahin hai Meri madad kijiye9999aasha4180305997456
The same i hapening to me i haave added sn include located inthe same directory as .c files. and vs 2022 ddoes not see it, AnD all MENTIONED garbage files are locked so i can not deletE thEm this is outrageous, A FUNDAMENTAL BUG IN vs!!!!!!
Technically you can re-write your query, replace SELECT DISTINCT ON with an aggregate function like MAX and GROUP BY. Then you'll be able to group and sort at any order you like.
The issue with your current XMLHttpRequest implementation is that you’re making a POST request, but you’re not actually sending the form data. That means your server has no idea what filters you’re applying, so it’s just returning the default results instead of the filtered ones.
Credit to DJP for his answer. What I did was, turn off the saving as indicated:
Settings -> Presentation -> Disable auto-save for all respondents
Then I created the pre-filled link, opened in browser, then added to home screen to get the shortcut. After testing it worked, I went back to the form and re-enabled the auto-save.
Hi sorry I have a similar issue. I used to have a .rprofile with memory.limit increasing my actual RAM limitation but recently I tried to open a .rdata and it always tells me it s blocked at 16.2 gb which is my physical limitation but before with memoryu limit increased, it was able to get beyong. Not sure if the last update I did today messed that up. I tried to increase this R_max v size in renviron but it does not seem to work. any idea where it comes from?
it says: impossible to allocate a vector of size 16.2gb
unfortunately this doesn't work, everything is shifted all the way to the right and the rows below are not displayed, I only see the product and the price. In any case, thank you very much for your effort!
The tutorial only includes a button for incrementing the counter so using the mod function would work in the context of this component tutorial.
If the component your designing allows the parent component to set a value directly (as opposed to just incrementing) then you'd probably want to set the private _counter back to the starting number (and ensure that it also properly notifies the parent component that the value was modified).
If every date is going to be in the format yyyyMMdd and your use case is simple, then you can divide the string up into these segments and assign them to variables.
let monthDays = [31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31];
function checkDate(date) {
if (date.length === 8) {
let year = parseInt(date.slice(0, 4));
let month = parseInt(date.slice(4, 6));
let day = parseInt(date.slice(6, 8));
if (month > 12 || month < 0) {console.log("Invalid month"); return 0;}
if (day > monthDays[month - 1] || day < 0 || (month === 2 && day >= 28 && year % 4 != 0)) {console.log("Invalid day"); return 0;}
return `${year}, ${month}, ${day}`;
} else {
console.log("Invalid length");
return 0;
}
}
dont downvote guys i am in the process of editing this
with connection.cursor() as cursor:
cursor.execute(
"""
WITH insertedArticles AS (
INSERT INTO articles
(name, subtitle)
VALUES
('name_value', 'subtitle_value')
RETURNING article_id
)
INSERT INTO comments
(article_id, comment_text)
SELECT
insertedArticles.article_id, $1
FROM insertedArticles;
"""
As always with using raw sql rather than ORM methods, make sure to parameterize inputs.
I eventually solved that issue by calling the heatmap module separately: 'from seaborn import heatmap'. That had to be done even after already explicitly stating 'from seaborn import *'. Smh.
But, on the plus side, no need to downgrade to 3.9 after all.
React Native Skia has no instruments of interactions with user. Everything from tap to input basics should be implemented from scratch or another way would be to create overlay over canvas that create rn elements in the same place where skia elements are. And another issue would be the way rn skia implemented right now it’s completely separate react reconciler which will create problem
I wouldn’t recommend skia for anything other than rendering non interactive image
Of cource, it is essential to standardize the data when using linear models with any regularization. Otherwise, the method is mathematically incorrect.
Register JavaTimeModule in Spring Boot
Spring Boot automatically registers JavaTimeModule if the dependency is present. However, in some cases, an explicit configuration is needed.
Create a Jackson configuration class:
@Configuration
public class JacksonConfig {
@Bean
public ObjectMapper objectMapper() {
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.registerModule(new JavaTimeModule());
objectMapper.disable(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS);
return objectMapper;
}
}
Ensure Your ErrorResponse Class Uses @JsonFormat
Modify your ErrorResponse class to format LocalDateTime correctly:
Modify Your Authentication Entry Point
Update your AuthenticationEntryPointJwt to use ObjectMapper properly:
@Component
public class AuthenticationEntryPointJwt implements AuthenticationEntryPoint {
private final ObjectMapper objectMapper;
@Autowired
public AuthenticationEntryPointJwt(ObjectMapper objectMapper) {
this.objectMapper = objectMapper;
}
@Override
public void commence(HttpServletRequest request, HttpServletResponse response, AuthenticationException authException) throws IOException {
response.setContentType(MediaType.APPLICATION_JSON_VALUE);
response.setStatus(HttpServletResponse.SC_UNAUTHORIZED);
ErrorResponse errorResponse = new ErrorResponse(
HttpServletResponse.SC_FORBIDDEN,
"Forbidden",
"You do not have permission to access this resource.",
request.getRequestURI()
);
// Convert ErrorResponse to JSON
response.getWriter().write(objectMapper.writeValueAsString(errorResponse));
}
}
Have Your tried requesting this endpoint in postman?
If the issue persists in postman then the problem is in your backend code and endpoints.
If postman process request successfully then your frontend is not picking that url.
For that purpose you have to expose/forward your django port with ngrok
ngrok http 8000
Then give that ngrok public url in frontend
For example if ngrok gave you url:
https://dehde-343-hdcnd-324n/ -> 8000
then in frontend replace "http://127.0.0.1:8000" with "https://dehde-343-hdcnd-324n/"
It will solve your problem but if the issue still persists then try following:
For testing purpose, give your whole backend signup url to baseUrl of API like this:
In the end, my team made simplified box collision meshes for all the objects. As all the colliders were axis aligned bounding boxes, were were able to just use Raylib's built-in bounding box collider code, while doing a few simple distance / radius checks to cull the work to a performant level.
`bool CheckCollisionBoxes(BoundingBox box1, BoundingBox box2); // Check collision between two bounding boxes`
The root of the issue is that useQueryState(s) uses Next.js' useSearchParams under the hood, which does need this Suspense boundary to ensure proper hydration of client components.
In case anyone runs into this issue. A viable workaround would be writing a custom HTML redirect file for sphinx-reredirects and including a script that captures the fragment and appends it to url.
For example:
<!DOCTYPE html>
<html>
<head>
<noscript>
<meta http-equiv="refresh" content="0; url=${to_uri}" />
</noscript>
<script>
var target = "${to_uri}";
// If there's a URL hash, append it to the target URL
if (window.location.hash) {
window.location.replace(target + window.location.hash);
} else {
window.location.replace(target);
}
</script>
</head>
</html>
Note that you have to register your custom redirect template in your conf.py.
Your code is generally correct and will seed an admin user as intended. However, if you need to seed the admin user only once, consider using a separate script or a seeding library instead of running it on every database connection.
I'll summarize the information discussed in the comments, as well as the answer provided by OP in the edit to their original question. I believe this deserves to be a community wiki answer but I lack the reputation to mark it as such.
The original code halted unexpectedly after around 200 members. While the exact cause is unclear, fixing the following inefficiencies resolved the issue, suggesting that the problem stemmed from one (or a combination) of them.
guild = discord.utils.get(bot.guilds, name = GUILD)
The guild object is already in the context object.
✓ OP deleted this line, and further uses of guild were changed to context.guild.
ServerMembers = [i for i in guild.members]
First, guild.members is already a list, making this list comprehension unnecessary. ServerMembers will be the exact same list as guild.members every time this line is ran.
In addition, guild.members itself potentially is potentially an incomplete list of members. guild.members relies on the bot's internal cache, which can be incomplete if the member list wasn’t fully populated. Switching to fetch_members() ensures the bot gets a complete list from the Discord API, even if the cache is incomplete.
✓ OP writes async for user in context.guild.fetch_members(limit = None):
if (EmployeeRoleUS or EmployeeRoleCA) in user.roles
As explained in this link by Queuebee, the above conditional does not work as intended. Assuming both EmpolyeeRoleUS and EmployeeRoleCA are not None, the above line is equivalent to just if EmployeeRoleUS in user.roles (the Canadian role is ignored).
✓ OP fixes this line to if (EmployeeRoleUS in user.roles) or (EmployeeRoleCA in user.roles)
The user object is already an instance of Member from guild.fetch_members().
An additional suggestion not in OPs solution would be to define EmployeeFormerRole = guild.get_role(EMPLOYEE_FORMER_ROLE) once so it does not need to be redefined for every member. This would make the final line become user.add_roles(EmployeeFormerRole)
✓ OP changes it to user.add_roles(guild.get_role(EMPLOYEE_FORMER_ROLE)) which is sufficient.
await guild.get_member(user.id).edit(roles = []) # Remove all roles
✓ OP opted to remove this line completely.
await asyncio.sleep(15)
The Discord.py library automatically handles rate limits internally.
✓ OP removed the manual await asyncio.sleep(15).
After making these changes, OP reported that the bot processed over 1,000 members successfully in around 24 minutes (~1-2 seconds per member) — confirming that the fixes resolved the halting issue.
It is unknown what exactly fixed the original issue, but it can be presumed that it was one of or a combination of the above changes.
@bot.command(name = "prune_unverified", help = "prune the unverified employees", enabled = True)
@commands.has_role("Owner")
async def prune_unverified(context):
await context.message.delete()
VerifiedEmployees = []
PrunedUsers = []
EmployeeRoleUS = context.guild.get_role(EMPLOYEE_ROLE)
EmployeeRoleCA = context.guild.get_role(EMPLOYEE_CA_ROLE)
VerifiedRole = context.guild.get_role(EMPLOYEE_VERIFIED_ROLE)
FormerRole = context.guild.get_role(EMPLOYEE_FORMER_ROLE)
# Fetch members directly from Discord API
async for user in context.guild.fetch_members(limit=None):
if (EmployeeRoleUS in user.roles) or (EmployeeRoleCA in user.roles):
if VerifiedRole in user.roles:
VerifiedEmployees.append(user)
else:
PrunedUsers.append(user)
# Update roles for pruned users
for user in PrunedUsers:
await user.edit(roles=[]) # Remove all roles
await user.add_roles(FormerRole) # Add former employee role
# Create CSV files of results
with open("pruned_users.csv", mode="w") as pu_file:
pu_writer = csv.writer(pu_file)
pu_writer.writerow(["Nickname", "Username", "ID"])
for user in PrunedUsers:
pu_writer.writerow([user.nick, f"{user.name}#{user.discriminator}", user.id])
with open("verified_users.csv", mode="w") as vu_file:
vu_writer = csv.writer(vu_file)
vu_writer.writerow(["Nickname", "Username", "ID"])
for user in VerifiedEmployees:
vu_writer.writerow([user.nick, f"{user.name}#{user.discriminator}", user.id])
# Send results to Discord
embed = discord.Embed(
description=f":crossed_swords: **{len(PrunedUsers)} users were pruned by <@{context.author.id}>.**"
f"\n:shield: **{len(VerifiedEmployees)} users completed re-verification.**",
color=discord.Color.blue()
)
await context.send(embed=embed)
await context.send(file=discord.File("pruned_users.csv"))
await context.send(file=discord.File("verified_users.csv"))
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I was getting this same error. After deleting C:\Program Files\Java\jdk-17\ folder from an old defunct Java installation, Gradle finally obeyed my JAVA_HOME env variable without issue and I didn't have to edit any configs!
in your C++ code you can likely remove the explicit load of cnt before the futex_wait call. The futex_wait syscall internally performs a load of the futex word cnt with sequential consistency. This ensures the atomicity of checking the value of the futex word and the blocking action as well as properly sequencing them, which is no different from std::memory_order_seq_cst 's guarantees.
why this works?
- Futex operations are ordered inside, and the load inside futex_wait coordinates the memory synchronization as necessary.
- This eliminates the need for an explicit initial load, and your code is still correct and optimal.
Tangent's and bitangent's as well as normal's .w should be 0, as its direction vector. Indeed mirroring mesh will lead to this problem, beacuse you have different directions there, but same normal map. You should detect vertex/pixel that is flipped and inverse one component of the normal. Simplest solution will be keeping UV coordinates of the mirrored version greater than, so 1 + UV, then you can detect it by taking integer part and use fractional part as UV.
I don't really get an overview on your post, so I will list pros and cons by each method:
Centralized management:
Pros
Easier Access and Maintenance: With Azure, you can manage all your hotels from a single account. This means employees who work across multiple properties will have seamless access to the resources they need, without juggling multiple logins.
Simplified Security and Permissions: Azure Active Directory (Azure AD) makes it easy to manage who can access what across all locations. You can set up roles and permissions centrally, ensuring that employees only see what’s relevant to their job, no matter which hotel they’re at.
Scalability: As you grow and add more hotels, it’s much easier to expand a centralized setup. There’s no need to duplicate resources or start over for each new property. But this is also a con, which I will mention later.
Cost Efficiency: While there’s an initial setup cost, a centralized approach reduces administrative overhead and avoids the need for multiple separate systems, making it more cost-effective in the long run.
Cons
Single Point of Failure: If something goes wrong with the centralized system (e.g., network issues, Azure downtime), it could potentially impact all hotels. While Azure has high availability, any disruption could affect the entire organization.
Compliance and Regulatory Challenges: Depending on where your hotels are located, there may be regional data privacy laws or compliance regulations that need to be managed separately. Although Azure offers some compliance tools, managing data residency and compliance across multiple states could require additional configuration.
Risk of Over-Complexity as the Business Grows: As you scale and add more properties, the centralized setup could become harder to manage if the initial structure wasn’t planned for growth. Balancing multiple hotels with different needs within the same system can be challenging.
Decentralized management:
Pros
Autonomy for Each Hotel: Each hotel can have full control over its own Azure setup, allowing more flexibility to configure settings, policies, and resources tailored to the specific needs of that property.
Simpler Setup for Smaller Hotels: If some of your hotels are smaller or have less complex IT needs, setting them up with individual Azure accounts can be quicker and easier. Each hotel can implement a straightforward solution without the complexities of managing a larger, centralized system.
Local Control and Customization: Hotels can independently manage their own security settings, software, and resources, making it easier to address unique needs or challenges at individual locations without waiting for changes in a centralized system.
Cons
Difficulty Managing Cross-Property Access: Employees who travel between hotels may face challenges with accessing systems and resources across multiple properties. Each hotel’s setup would require separate logins and permissions, making it harder to ensure smooth, seamless access.
Higher Costs in the Long Run: While initial costs might be lower, a decentralized system could result in higher ongoing costs. Each hotel will need to individually purchase licenses, manage resources, and handle IT maintenance, which could add up over time.
Difficulty Standardizing Processes: With each hotel operating independently, it can be difficult to standardize processes or best practices. This lack of consistency might lead to inefficiencies, errors, or uneven service quality across the properties.
Complicated Disaster Recovery: Managing disaster recovery plans separately for each hotel can be challenging. In a centralized system, you could have a unified backup and recovery process, but with decentralized systems, each hotel will need to handle its own backup strategy, increasing the risk of gaps.
In conclusion, depends on the business model and growth strategy of the hospitality group. If each hotel operates as a separate investment by different investors, a decentralized setup makes sense. It allows each property to be managed independently, reducing the risk of financial conflicts between investors. This gives each hotel full control over its resources, security, and operations, without being dependent on a centralized system that may have differing priorities or policies. On the other hand, if the hotels are investments owned collectively by the group, a centralized approach would be more effective. Centralized management enables consistent data and security policies across all properties, improving efficiency, scalability, and ease of management as the group expands. It also allows for seamless access for employees who work across multiple hotels, making it ideal for businesses with shared ownership and operations.
I have noticed that this problem is happening in some regions recently, and by recently I mean Feb 2025. For example my region is Iran, and for those living in this region I tried so many different solution and none of them worked. Only thing that worked was using Shecan to solve DNS Problems
