You emulator device can see your development machine at a special address of 10.0.22:<port> likes like a localhost but to the developers machines instead.
Unfortunately it seems conda commands are no longer supported in the Spyder console. The developers recommend you launch Anaconda prompt and install/update packages through that interface instead. This workaround worked for me.
Hey @seamuswade, thanks for reporting. I think the problem in this case is that you're trying to run the conda commands you posted above in Spyder's IPython console.
Conda is expected to be run in a system terminal (i.e. cmd.exe). So, to update Spyder please close it first, open the Anaconda prompt and then run the update commands on it again.
from matplotlib import pyplot as plt
import pandas as pd
# Datos del cuadro comparativo
data = {
"Aspecto": [
"Definición",
"N° de capas",
"Capa 7: Aplicación",
"Capa 6: Presentación",
"Capa 5: Sesión",
"Capa 4: Transporte",
"Capa 3: Red",
"Capa 2: Enlace de datos",
"Capa 1: Física",
"Uso actual",
"Protocolos comunes"
],
"Modelo OSI": [
"Modelo de referencia de 7 capas que estandariza funciones de redes.",
"7 capas",
"Interacción directa con el usuario y aplicaciones.",
"Traducción de datos, cifrado, compresión.",
"Establece, mantiene y termina sesiones entre dispositivos.",
"Control de flujo, segmentación, confiabilidad (TCP/UDP).",
"Enrutamiento de datos, direcciones IP.",
"Control de acceso al medio físico, direcciones MAC.",
"Transmisión de bits por el medio físico (cables, señales).",
"Más educativo y teórico.",
"No define protocolos específicos."
],
"Modelo TCP/IP": [
"Modelo práctico de 4 capas que describe cómo se comunican los datos en internet.",
"4 capas",
"Aplicación: Combina las capas 5, 6 y 7 de OSI.",
"Incluida en la capa de Aplicación.",
"Incluida en la capa de Aplicación.",
"Transporte: También usa TCP y UDP.",
"Internet: Maneja direccionamiento y enrutamiento.",
"Acceso a la red: Combina las capas 1 y 2 de OSI.",
"Incluida en Acceso a la red.",
"Base real de las redes y comunicaciones en internet.",
"TCP, IP, HTTP, FTP, DNS, etc."
]
}
# Crear DataFrame
df = pd.DataFrame(data)
# Ajustar el tamaño de la figura
fig, ax = plt.subplots(figsize=(14, 8))
ax.axis('off')
table = ax.table(cellText=df.values, colLabels=df.columns, loc='center', cellLoc='left', colColours=['#cce5ff']*3)
table.auto_set_font_size(False)
table.set_fontsize(9)
table.scale(1.2, 2.0)
plt.tight_layout()
plt.savefig("cuadro_comparativo_osi_tcpip.png", dpi=300)
plt.show()
I'm struggling with the exact same thing right now, the permission dialog only pops in the second launch. I moved my createNotificationChannel method to the top of my onCreate method in MainActivity (before asking for permissions) and it stills working only if I reopen the app. How did you solve it?
The older version of the Grid component (now called GridLegacy) is officially deprecated in Material UI v7. Upgrading to the newer Grid component does involve some breaking changes but the end result is a much nicer developer experience (IMO). The Upgrade to Grid v2 doc has all the info you need to make the jump (or, alternatively, to hang on to the Legacy Grid for now).
I had the same problem to resolve. I'm not sure if you sent the document in pdf or jpg. I converted the pdf to jpg then I sent it to document intelligence and the results were the dots so I did not have to convert the inches.
I have used solution of musicamante, thank you a lot!
Firstly I have to decrypt encrypted database to a QByteArray, then I writing decrypted data to aQTemporaryFile .
Next, copying database content that file to a QSqlDatabase stored in :memory: . After that, I overwrite temporary file`s content by zeroes(to make deletiong more safer) and deleting it.
If I want to write back changed data I need to create QTemporaryFile and copy :memory: database to it, afterwad copy content of file to QByteArray , ecnrypting it and writing to encrypted database file.
As established when this question was posted, the in-house feature importance can not provide this information. However, it is possible to use outside explainers to extract it.
Pass the trained classifier to a Shapley TreeExplainer.
Run the explainer using a test dataset that consists of only one class.
We still need to extract the feature importance for each class separately using separate test datasets, but the model itself remains a multi-classifier.
It works because the feature importance is based on the test dataset. If you use a test dataset of only one class, you will get the importance related to that class. Any explainer that uses a test dataset should work this way as well.
At <a href="https://kfcmenuca.info/category/kfc-menu/">KFC Menu</a>, it all starts with the chicken—freshly prepared in our kitchens every single day using the Colonel’s legendary secret blend of 11 herbs and spices. It’s not just food; it’s a tradition that’s been passed down since 1930, when Colonel Harland Sanders first served his iconic recipe to hungry travelers in Corbin, Kentucky. Today, that same crispy, golden Original Recipe® chicken is at the heart of every bucket we serve, hand-breaded and pressure-cooked to perfection. Whether you’re sharing a meal with family or grabbing a bite on the go, KFC delivers comfort, flavor, and Southern hospitality in every bite.
Make sure the test doesn't have both MockitoAnnotations.openMocks and @RunWith(MockitoJUnitRunner.class) enabled which results in modifying the Mock object reference and leads to incorrect stubbing, having one should serve the purpose.
In addition to Patrick's answer: You are @exporting those properties, therefore you can simply change their value in the editor from the Inspector itself. This applies to base Scene, inherited Scenes, and instanced Scene that belong to or extend your custom class.
In Notepad++, the XML Tools plugin's Pretty Print function indeed only adds indentation to the XML file to make it more readable, but it does not apply any syntax highlighting or colors. The color coding in Notepad++ comes from the syntax highlighting feature, which is separate from the indentation.
For many variscite-related questions the variwiki for your board is a great place to start: Variwiki DART 6UL
If you click on Release Notes you get the exact Kernel Version used in the Kirkstone Build of Yocto. The Devicetree is part of the Linux Kernel repository. They are in your case under arch/arm/boot/dts and in newer versions in arch/arm/boot/dts/nxp/imx/imx6ul*.dts Folder with Devicetrees (keep in mind that gitlab only shows 1000 elements, so either search for the exact name or clone the repo)
How can I edit the Device Tree
There is a page how to do this in the variwiki: Customizing the Linux Kernel
Basically you have the option to replace the kernel used by yocto with your own customized kernel, or to use a patch that modifies the default yocto kernel.
How do I enable the SPI Pin for the DART-6UL board
For a private file, only shared with my account, I opened it on Firefox/or any other browser should work. Opened the console > network tab to monitor network calls. Click on the usual download button to start downloading through the browser. A network request appeared like `https://domain.sharepoint.com/personal/path/to/file/download.aspx?SourceUrl=/path/to/file.zip` and I cancelled the download from the download manager. Then in the network tab, right click on the item and, click on "Copy value" > "Copy as cURL". This copies the necessary cookie+url that you can just paste and download.
The Snowflake adapted SQL produced the exact results needed.
As a point of interest, I will be implementing this method in a much larger query with many unions, then grouping those results into one answer for a net cash flow KPI.
Thank you very much for the answer.
Here it is adapted to Snowflake.
WITH Months AS (
SELECT YEAR(date) AS Year, MONTH(date) AS Month
FROM Date d
WHERE d.Date >= '2019-01-01' AND d.Date < '2020-01-01'
GROUP BY YEAR(date), MONTH(date)
)
SELECT YEAR, MONTH, COUNT(move_out_date) AS Count
FROM Months m
LEFT OUTER JOIN Lease l ON
l.move_out_date >= date_from_parts(Year, Month, 1) AND
l.move_out_date <= last_day(date_from_parts(year, month, 1))
GROUP BY year, month
The reason you don't see any HTML in the page source is that the PHP script is likely outputting the video file directly to the browser, rather than generating an HTML page. This is a common approach for serving video content, as it allows for more efficient and flexible video playback.
After reloading the data this way, I had to follow one more step which was going to the data tab, clicking on the Public on the left sidebar which has table navigation and details.
Post that the table(s) appeared for me in the Untracked tables or views section. Clicked on track all and all was good to go.
The only way I managed to work around that issue was by introducing a supervisor agent. This supervisor agent receives the output from the primary agent and transforms it into a properly formatted JSON.
So in the end, I was able to resolve this by using a different OS image. The original FROM andrejreznik/python-gdal:stable image that I was using was a Debian-based image, but I didn't realize that the OS I was upgrading to, andrejreznik/python-gdal:py3.11.10-gdal3.6.2, is an Ubuntu image. On a whim, I experimented with andrejreznik/python-gdal:py3.10.0-gdal3.2.3 which is a Debian image, and this actually worked - when deployed to AWS, gunicorn could be run with no problem.
Although I was able to fix the problem, I must admit that I still don't really understand why this happened, and I would like to know how to resolve it. Why is it that switching from Debian to Ubuntu locally had no problems, but as soon as the Ubuntu image went to AWS, it could no longer find gunicorn?
The magic of MergeSort() is in the halving of the boundaries of the array. It. In the first call, it sets a mid point of the full array. In the next call, that mid point is passed to back to the function as the "r" or right boundary. That's how it halves the left side of the array down to a 2 item array.
Because it calls itself, mergeSort will keep doing this until the entire left side is broken down. THEN the right side is done in the same fashion. Each call has its own stack frame sorted in memory containing the l, r parameters and the new m variable. And these stack frames are unwound or fed backwards into merge()
Remember, it's not halving the original array, it's halving the indices of the array
What happens is at every node model will (1) take all the features available (p in your notation) and randomly take a subset of m (in your notation) features from it. Then, (2) it will set a threshold for each of them and using impurity or entropy (3) choose the one giving the best split - where the two subsets of samples are the most alike. And it will do it every time exactly in this order - for every node.
Basically, there are 3 possible ways to set max_features: all features, only 1 at a time and options in between. Those will be m. What is the difference?
When selecting all (default), model will have every time the most wide selection of parameters on which it will perform step (2) and choose the best one in step (3). This is a common approach and unless you have a giant dataset and heavy tuning or something of a sort that requires you to be more computationally efficient, this is the best bet.
Choosing 1 feature basically kills the power of the algorithm, as there is nothing to choose the best split from, so the whole concept of best split is not applicable here, as the model will do the only possible split - on that one feature randomly taken at step (1). Performance of the algorithm here is an average of randomness in that feature selection at step (1) and bootstrapping. This is still a way to go if the task is relatively simple, most of the features are heavily multicollinear, and computational efficiency is your priority.
Middle ground when you want to gain some speed on heavy computations but don't want to kill all the magic of choosing the feature with the best threshold for the split.
So I would like to emphasize that randomness of the forest always come from bootstrapping of the data and random selection of that one feature per node. max_features just gives an opportunity to add an extra step for extra randomness to mostly gain computational performance, though sometimes helps with regularization.
The kernel is 5×5, then center = 2.
Because of trying to shift the kernel window such that it centers around (0,0) — so it should range from -2 to +2.
My mistake had it from -3 to +1, which is off by one and leads to asymmetric blur.
What I normally do is to create a test project in Xcode (you don't have to add anything to it). And then run that project from Xcode with the simulator. This will open the simulator. Now you should be able to see the simulator device in VSCode or Android Studio. So you can close the test project and Xcode and run your app from your IDE. This is so common I keep a test project in Xcode named "Blank for Simulator" so I can do this.
You have to make sure that all of the information for in-app purchases has been entered into the App Store. Including icons and contact info. Even though it says it's "Optional", you still have to add it....The answer to your questions: "Do I really need to submit a version of the app with the IAPs attached for review just to be able to fetch them using queryProductDetails?...is No. Once you have finished setting up your in-app purchase the list will no longer be empty. You can do this on the App Store prior to getting your app approved, unlike the Play Store.
Yes, there is a mistake there and it still exists. I found it now also in Online Test Bank in Sybex. They even explain the correct answer themselves.
Which of the following are not globally based AWS services? (Choose two.)
A. RDS
B. Route 53
C. EC2
D. CloudFront
Explanation
Relational Database Service (RDS) and EC2 both use resources that can exist in only one region. Route 53 and CloudFront are truly global services in that they’re not located in or restricted to any single AWS region.
my problem was when I loaded the route to redirect to the events page before closing the modal. What caused the error "ERROR: Cannot activate an already activated exit"?
I tried closing the modal first, but I was unsuccessful with the navigation. My alternative was to apply the modal as a normal page, and call it in routes, making the standard navigation as a page.
I usually fix this with 0x0a as proposed by J.Perkins above. Actually, I don't fix it: all of my scripts use 0x0a. I hit this problem so rarely that I always have to search for the fixes because it is too long between breakages.
The problem this time is that the file had no CRLF on the last line. Added CRLF and ... runs like a champ.
*As for Contango's comment that he has "never managed to get a real world .csv file to import using this method". He is correct. If your "real world" is 3rd party datasets, then BULK INSERT is a really, really bad idea. My real world is very different. My team creates the file using bcp. Yep. Always pristine data. Well ... almost always. Developer modified the file after it was created.
Hi i just resolved the issue on my own. For anyone else being this new, the navbar is creating the componenst based on the files you have in your (tabs) folder
The driver is a dll that is needed for authentication and establishing a communication channel with the database. They can be different and provide a basic API (the lowest-level database access). They work, as you put it, directly with the PostgreSQL protocols. It is for them that you write the server address, port, login, password, encoding,...
Component libraries (FireDAC, ZEOS, UniDAC, ...) provide convenient access to database functionality (Queries, Tables, Connection, Meta Information, Transactions, ...).
ORM is designed to hide low-level information about a database and work with information as objects. None of these components optimize your queries, no matter how much you want them to. There are separate tools for optimization, where you prepare the request.
If you are still in doubt, write a short application with your request and check how many bytes the server will return to you!
These positions are automatically calculated, and there is no way to move them directly.
Instead, you need to update the pose.heading for each photo, so that the center of each photo points to north. Also, make sure that the GPS location is correct. If everything is correct, the arrows will eventually appear at the correct locations. Please note, the update can take up to several days/weeks.
Hola, el problema es que estás intentando formatear algo como si fuera una cadena de texto con formato de fecha u hora.
Pero como el valor es un TimeSpan, no acepta el formato "hh:mm:ss" directamente en la propiedad .DefaultCellStyle.Format.
Tenes que convertir el TimeSpan manualmente.
Justo después de llenar el DataGridView, podés recorrer las filas y formatear el valor, ejemplo:
For Each row As DataGridViewRow In DataGridView1.Rows
If Not row.IsNewRow Then
Dim hora As TimeSpan = CType(row.Cells(2).Value, TimeSpan)
row.Cells(2).Value = hora.ToString("hh\:mm\:ss") ' O solo "hh\:mm"
End If
Next
I am seeing the same problem with protobuf. As soon as I try to parse a Message, it crashes. If anyone find a solution, please share it. For now going back to 16.2.
I am having the same issue, the process takes more than 60 minutes for some files and the upload URL has expired when de workitem ends, which results is upload failed. I believe I cannot change the uploadURL to the workItem which is currently running to avoid the expiration of it.
The answer from @Emma Zhu requires as well the signed URL where minutesExpiration can be set to 60 minutes max. So, it didn't help. I hope someone knows how to achieve it
It's old question but situation with users synchronization between MySQL and AD/LDAP stays the same at all, except some commercial tools. But a while ago utility forked from EnterpriseDB pgldapsync appeared - myldapsync. Maybe it could be heplfull for someone.
I need to share what helped solve it for me, after several days of banging my head against the wall trying to solve this issue.
For me, it happed after upgrading my Apache/PHP to any version above 8.1.10. None of the solutions listed here or on Google helped.
Eventually, I discovered that it was caused by a single line in my .htaccess file. php_value output_buffering off all I had to do was change "off" to "0".
You also need to be aware that "Find in files" only shows a preview and not all results. To get all results, you need to click on "open in find window" on the bottom right.
Although according to the code, if I interpret it correctly, MapCompose ignores functions if None is an input instead pushing default_loader_context down the chain. This makes my code conceptually wrong as the functions that address None are meaningless because they are not executed by MapCompose.
@furas transformed the question to default values.
According to the changelog, support for default field values was removed in v0.14 that is before 2012-10-18. However, an introduction of @dataclass returned this concept in v2.2.0. Documentation states that attr.sitems also allow to define the type and default value of each defined field, and, similarly to @dataclass, also do not provide an example. Additionally, get() method has a default argument.
get() method is easy and it replaces None with "get_method_default"
@dataclass is questionable in my implementation because it returns "dataclass_field_default" only if none_field is deliberately switched off otherwise it returns None
