My boy ur cooked
No one can help and everyone here is as confused as you
https://github.com/CloveTwilight3/GitCommit
I also got frustrated with similar, so I made this.
I too was puzzled by this 12yo question!
Neither OSX or macOS have a Move cursor like Windows' four-directional arrow cursor, which you can see in this list of Windows cursors under value IDC_SIZEALL.
This list of Mac cursors only goes back to OSX 10.14 (Mojave), but no such cursor is included. The Open/Closed Hand cursor is recommended "when you're moving and adjusting an item". trashgod suggests the same in their linked answer.
I got the same error when I build Docker image on my OpenWRT router. It turns out to be a network issue. On Openwrt, building docker image is using docker network zone. So you need to double check your firewall settings and make sure docker zone can be forwarded to wan zone.
I needed to add all of the certificates in the chain, e.g.
The web service exception reported the serial identifier for the E8 certificate.
Note that I was using a third-party tool to call the web services and so I did not directly add the certificates to the jvm's keystore but, that may have happened in the background.
When we talk about Apache Flink, it is a distributed stream processing framework that can operate in both streaming and batch modes. I assume this question is about Stream Processing equivalent in C#/dotnet. There are several open-source projects:
Streamiz.Kafka.Net: is a Kafka Streams–style .NET library that provides state stores, windowing, joins, and support for exactly-once semantics. It can also work with Pulsar through KoP. However, as an open-source project, it currently does not offer as many features as Apache Flink. https://github.com/LGouellec/streamiz
.NET for Apache Spark: Apache Spark (Structured Streaming) supports stream processing but primarily runs in micro-batches (near‑real‑time), with an optional but limited continuous processing mode, whereas Apache Flink primally supports real time stream processing that processes records as they arrive; both offer event‑time semantics, watermarks, stateful operations, and fault tolerance, but Flink typically achieves lower per‑event latency. https://github.com/dotnet/spark
Akka.NET Streams: When discussing distributed stream processing, the main approaches are typically Kafka-based or Actor Model–based. Akka.NET focuses on the Actor Model for distributed and stream processing, which is quite different from what Apache Flink offers. While a well-tuned Kafka + Flink cluster can achieve throughput on the order of billions of messages per second across many nodes, Akka.NET generally reaches millions of events per second per node. https://github.com/akkadotnet/akka.net
Temporal (with .NET SDK): A workflow and orchestration engine designed for durable, long-running, and stateful workflows that can be invoked from C# to implement reliable business processes. When combined with the Confluent Kafka Streams API, it can also be used to build distributed stateful stream-processing systems. https://github.com/temporalio/sdk-dotnet
Confluent Kafka for .NET: Confluent.Kafka is the official .NET client for Kafka (use it together with Streamiz or your own processing to build stateful pipelines); GitHub: https://github.com/confluentinc/confluent-kafka-dotnet
FlinkDotnet: This is my personal project, so please take it as a reference. FlinkDotnet acts as a bridge that enables communication with Apache Flink through a fluent C# API, supporting most of Flink’s core features (including event-time processing, watermarks, keyed state, checkpoints, and exactly-once semantics). The project includes LocalTesting and LearningCourse folders that demonstrate stream processing in distributed systems using Microsoft Aspire, integrating three core technologies: Apache Flink (real-time stream processing), Kafka (message streaming broker), and Temporal.io (workflow orchestration platform). https://github.com/devstress/FlinkDotnet
The problem with the truncation of the output window was due to using the cprintf function. Changing all cprintf to printf resolved the issue.
Just ran into this bug in vscode 1.105.1 on windows 11. I was able to get around it temporarily by:
In case anyone still needs the help. Just put your image URL in the "poster" attribute of your video element.
I ended up using rbenv, creating a separate account to install it where most of the apps will run from. For cron jobs I added the shim dir to the path and explicitly invoked ruby <script> so that was relatively straight forward. Some programs were run from systemd so again made sure that the environment was set correctly script ruby invoked explicitly.
Then I went back to @pjs suggestion which I did not understand when I first saw it. Did a bit of research into the env command, though DOH! and tried it out and that seems to work fine. Obviously the program has to be invoked in the correct environment. That is a much simpler approach. There is one program that remains problematic - it is invoke from rsyslog's omprog (output to program) where I have no control over the environment. Luckily that one is not dependent on any of the broken gems.
i use
<pre>
{$variable|var_dump}
</pre>
By using rspec-json_expectations gem:
expect(response.body).to include_json(
premium: "gold",
gamification_score: 79
)
Had the same issue and solved it. Postgres converts each syn filename to lowercase, that's why it can't find "am56314Syn". Change it to "am56314syn"
_|WARNING:-DO-NOT-SHARE-THIS.--Sharing-this-will-allow-someone-to-log-in-as-you-and-to-steal-your-ROBUX-and-items.|_CAEaAhAC.vhummYStsD2wmsaGQhkk-sE3OaA_aZuOQTc6KDdWfHGrTSmHV6RWswRYQymgfbgRFv8pk-RYHkWOkYm_LDwzbZyiEAb-Vz-eU0eif3KkyK3wf-kuXYPOoDZO-N9AKas6XzjgVDno3CAxMTuAG1pPsGjRLH8CFfZLEq453JJcTg3uwcGlmd89nmtdeKR0w7VrTyASR9Yo0zybD2MfxKnjGmOKiJxGur2e_B-OPGth562w51TJYv1w-dwEBYwBW0J4CCdRaxSZRPixh2nl2h4rEwSYA2tU2xi1J3NghqPgEERIVIxL_EGEleplv35zD46JbFiZblAA7HWiU5A7nM8YP78sn4qqrrYIaPJrPRt1VI7LjuhBZUkgAMjq7LrV4c1d0xdpFU0OdeW1Cziv593-6UM4b1oXf49nIv58V-HNgs9GFmlbuSUp1rtV6y5oz9tBaBlkOsm5weXjXK33mDRBfwxwz9Bpruk56NGxOe4matWqZFFkeWAAaPSzOfxxtejKU8j1X4kGsALvkN4V2VnYUaQ06x6XKNcVmE27YuQ5EyHSMO_FOiSuDXJ0_VmCtb0xYpfufTujQicfiKYZg_H3DIBbMDMNQDmGHyn8o30YpzJusktkzvudzKZYdA-Zf6j_ohNRoY_gNwvJlTJMRFTc2NHl86suMm9h4u5ITbxPcMSW4NJpp_wsz_tzPMTrLY_J4EAIa-QxnzDFvynGazQpKJrKKtzbiUytQspQxOiKufMgN_LljXMcwRhEyClzcD005g8DS_SWTV9PNf4v2vA63nttZSGDsCjDFwmG6z2uw_DWXyySIeZOLM7kiKQYOMqUXyTTqQZl_9s8w42nKDQesoSIIOtUQ4Junu0UWwmyP76dKwo1UFcLeA9geqLsmSFw5EFHTC9lhJc1h3-qG_kCF4yF0zOvf2kWuvWbgXr3GeAeBsZMIL6l6RYjefP0DS03886USBaUdcGSnn6KFERU-lD0UPMQr1IiQcJinlFcPJprkAhagoB2_AC8gAQ61fDJla1UOMG2mmMBbNfCRoXTrUik5JcFtsPKYtikMMC7pkskvE4anXwBySrVV9cQo_ysnvmo278kjF1PgVAzC9ylk8NeM2fIdxZNG8OyF2TzTeSymV1k
Cartopy has a demo that addresses this issue here: https://scitools.org.uk/cartopy/docs/v0.15/examples/always_circular_stereo.html?highlight=set_extent
Basically, make a clip path around the border of your map. The clip path is defined underneath your call to generate the figure, and there are two set_boundary calls for the maps with the limited extents.
The output (the automatic gridlines are a little funky but you can always make your own):
Here's your modified code:
from cartopy import crs
from math import pi as PI
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
import numpy as np
import matplotlib.path as mpath
CEL_SPHERE = crs.Globe(
ellipse=None,
semimajor_axis=180/PI,
semiminor_axis=180/PI,
)
PC_GALACTIC = crs.PlateCarree(globe=CEL_SPHERE)
def render_map(path, width, height):
fig = plt.figure(layout="constrained", figsize=(width, height))
theta = np.linspace(0, 2*np.pi, 100)
center, radius = [0.5, 0.5], 0.5
verts = np.vstack([np.sin(theta), np.cos(theta)]).T
circle = mpath.Path(verts * radius + center)
try:
gs = GridSpec(2, 2, figure=fig)
axN1 = fig.add_subplot(
gs[0, 0],
projection=crs.AzimuthalEquidistant(
central_latitude=90,
globe=CEL_SPHERE,
)
)
axN1.gridlines(draw_labels=True)
axS2 = fig.add_subplot(
gs[0, 1],
projection=crs.SouthPolarStereo(globe=CEL_SPHERE)
)
axS2.gridlines(draw_labels=True)
axN2 = fig.add_subplot(
gs[1, 0],
projection=crs.AzimuthalEquidistant(
central_latitude=90,
globe=CEL_SPHERE,
)
)
axN2.set_extent((-180, 180, 70, 90), crs=PC_GALACTIC)
axN2.gridlines(draw_labels=True)
axN2.set_boundary(circle, transform=axN2.transAxes)
axS2 = fig.add_subplot(
gs[1, 1],
projection=crs.SouthPolarStereo(globe=CEL_SPHERE)
)
axS2.set_extent((-180, 180, -90, -70), crs=PC_GALACTIC)
axS2.gridlines(draw_labels=True)
axS2.set_boundary(circle, transform=axS2.transAxes)
fig.savefig(path)
finally:
plt.close(fig)
if __name__ == "__main__":
render_map("map_test.pdf", 12, 12)
I found this solution using this page and hints from a few other pages.
=FILTER([ExcelFile.xlsx]TabName!C2:C38,([ExcelFile.xlsx]TabName!C2:C38 <> "")*([ExcelFile.xlsx]TabName!D2:D38 = "Active"),"Nada")
It works with an array and filters it for the data in the array not being empty and being equal to "Active". If no cells meet these criteria, it returns "Nada".
Slightly counter-intuitive, "*" in the second term of the formula means AND, while "+" would mean OR. It should work constructed with AND(), OR(), NOT() etc., depending on how you need to filter the data.
A caveat is that the results spill down below the cell in which the formula is, so it may be best to use this formula at the top of a sheet with nothing below it in that column. Embedded into a longer formula, this shouldn't be an issue.
My need for this array filtering was to calculate a T.TEST(), so I needed a way to return a filtered array which T.TEST() could use to calculate means of that array, and all the rest. In this case, using AVERAGEIFS() wouldn't help.
Docusign does not support automatic signing or robo signing in any form. All recipients have to manually sign the envelope.
Se você tiver um saas Embedded você consegue fazer o filtro pela tabela Dimensão direto com a linguagem de programação que você esta usando no desenvolvimento.
tenho um portal Saas Embedded se precisar de algo nesse sentido segue meu contato 11 915333234
Ok, the problem was that I accidentally set VoiceStateManager to 0 in discordClientOptions. This meant that VoiceState was not cached.
"the agent doesn't seem to retain context" How did you get this impression? Could it be that it still does?
I was searching for a solution about this. SciPy is translating everything from Fortran to C. https://github.com/scipy/scipy/issues/18566 . Sounds a bit too ambitious though it looks like they are almost done.
Anyways, ARPACK is in that list marked as completed. From the description the code is now thread safe but using it, is a bit different than the fortran version according to the readme file.
https://github.com/scipy/scipy/tree/main/scipy/sparse/linalg/\_eigen/arpack/arnaud
For a quick examination, try: python3 -m pickle /path/to/the/file.pkl
This is an interesting topic..
I figured out how to properly configure settings to write pixels to a bitmap. Text should be straight forward to implement now, I think I'll deal with a proper text mode later as this stuff is quite the headache! Anyway, updated code with annotations is posted in case it helps others. Compiling with NASM in binary format and using the raw binary as bios input to Qemu with -vga std generates a white screen!
ax.hlines([100, 150, 200, 300], -10, 390, linestyle="--)
See for the full signature `matplotlib.pyplot.hlines`. The price to pay for this convenience is that one has to specify explicitly the beginning and the end of the line.
Solved this with a custom function. There probably exists a more performant solution but this has worked for my needs.
row_updater <- function(df1, df2, id){
df_result_tmp <- df1 %>%
# append dfs and create column denoting input df
dplyr::bind_rows(df2, .id="df_id") %>%
# count number of rows per id
dplyr::group_by({{id}}) %>%
dplyr::mutate(id_count = n()) %>%
dplyr::ungroup()
if (max(df_result_tmp['id_count']) > 2){
warning(paste0("Attempted to update more than 1 row per ", quote(id), ". Check input datasets for duplicated rows."))
}
df_result <- df_result_tmp %>%
# filter to unaltered rows from df1 and rows from df2
dplyr::filter(id_count == 1 | (id_count == 2 & df_id == 2)) %>%
dplyr::select(-c(df_id, id_count))
return(df_result)
}
I do not recommend telethon for forwarding messages, my main account was banned yesterday after 1 minute of forwarding. Telegram is currently banning it very aggressively. It's better to use a regular bot, if your account is important to you.
Had this issue with docker containers. Turns out I just need to add mailpit container to the shared network.
Spring Boot supports YAML anchors, therefore it's possible to do the following:
.my: &my
policy: compact
retention: 604800000
producer:
topic.properties: *my
I got it working, I think the example in the link above is old. The below code worked for me and I was able to create a prompt programmatically and see in vertex AI studio. Still trying to see how to manage version and compare prompts. Also it looks to me that to use generative ai on GCP, we will need both the vertexai and the google-genai package. It looks like generative AI models are removed from vertexai and moved to google-genai. If I am wrong on this, would like to be be corrected.
I got the below code here https://github.com/googleapis/python-aiplatform
import vertexai
# Instantiate GenAI client from Vertex SDK
# Replace with your project ID and location
client = vertexai.Client(project='xxx', location='us-central1')
prompt = {
"prompt_data": {
"contents": [{"parts": [{"text": "Hello, {name}! How are you?"}]}],
"system_instruction": {"parts": [{"text": "Please answer in a short sentence."}]},
"variables": [
{"name": {"text": "Alice"}},
],
"model": "gemini-2.5-flash",
},
}
prompt_resource = client.prompts.create(
prompt=prompt,
)
print(prompt_resource)
Here is a solution I come up with:
offsetRight = elem.offsetWidth - elem.clientWidth - elem.clientLeft;
offsetBottom = elem.offsetHeight - elem.clientHeight - elem.clientTop;
I'm also interested if this functionality for the API now exist. Sometimes the API documentation does not reflect changes.
Looks like your dev has installed some security plugin/setting that protects the admin/login area.
Search for anything in SiteGround that could affect the URLs or protect the admin area.
SG Security → Login Security → “Change Login URL.”
WPS Hide Login, iThemes Security, All In One WP Security, etc.
It's very likely the URL has been changed or could be IP protected. You can disable all the plugins in WP without accessing the admin, just by moving all the plugins away from the /wp-content/plugins folder
Set the StageStyle of the dialog's window to UTILITY:
((Stage)dialog.getDialogPane().getScene().getWindow()).initStyle(StageStyle.UTILITY);
Tristan's discovery is explained here at flatcap.github.io/linux-ntfs:
If a new record was simply allocated at the end of the $MFT then we encounter a problem. The $DATA Attribute describing the location of the new record is in the new record.
The new records are therefore allocated from inode 0x0F, onwards. The $MFT is always a minimum of 16 FILE Records long, therefore always exists. After inodes 0x0F to 0x17 are used up, higher, unreserved, inodes are used.
I also had the problem when trying to upgrade to Jimp 1.6 because of dependency vulnerabilities... In the end, I switched to "sharp", which seems simpler for PNGs...
Try setting the style of the dialog's window to UTILITY, e.g.
((Stage)dialog.getDialogPane().getScene().getWindow()).initStyle(StageStyle.UTILITY);
For me, this was just another terminal that whose active directory was within the .next folder. Closing that terminal allowed the build to continue.
are you sure the BROADCAST_DRIVER on .env is ably?
or try clear the cache with php artisan cache:clear && php artisan optimize:clear command.
The issue wasn't with the query. The issue was with how I interpreted the number of rows in the output pane. The pane showed 6,092 records because of the limitation on notebook cell output - see Known limitations Databricks notebooks. If I download the results of the output frame showing 6,092 rows I see the complete result set of 971,198 records. Mystery solved. Hoped this helps someone.
I have the same question about Angular with CopilotKit. its possible integrate Copilot in an angular app, using the app state for response to user questions about the page?
If you are in Expo project you don't need to add:
plugins: [
...
'react-native-worklets/plugin',
],
to you app.json file, expo will do the job automatically. So just remove it and it should start working.
(It's just very confusing in the react-native-reanimated docs)
The issue might be the database update. You might do check the permalinks of website in database. hope this will work.
Or you can post the wesite link i will check the issue.
You're almost there! Check that month and merchant ID match in both tables, and try to join before any groups or totals — that usually fixes the mismatched data.
⪅ v1.0.0-rc2 of github.com/go-vikunja/vikunja appears to provide such a chart:
I really like the Raspberry-Vanilla project, it’s a great starting point for development of aosp/kernel.
You can check out their manifest here:
https://github.com/raspberry-vanilla/android_kernel_manifest/tree/android-16.0
And here’s the link to their kernel:
https://github.com/raspberry-vanilla/android_kernel_brcm_rpi
If you are looking to build a data pipeline from Oracle Fusion to your data warehouse or database and would like to extract data from Fusion base tables or custom views, please take a look at BI Connector. It solves the problems posed by BICC and BIP-based extract approaches.
Check your package.json maybe @nestjs/swagger is missing. Fixed with
npm install --save @nestjs/swagger
I recently explored the Python Training with Excellence Technology, and it’s truly one of the best learning experiences for anyone aiming to master Python from scratch to advanced levels. The trainers are industry professionals who ensure practical, hands-on learning, making complex programming concepts easy to grasp. What impressed me most is their updated curriculum that matches real-world needs, preparing learners for job-ready skills in data science, web development, and automation.
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In my case it printed full context, you just need to delete package.json and yarn.lock of upper directory. So i deleted package.json and yarn.lock in /Users/someUser/Downloads/frontend-projects/ons/ons-frontend which was in upper directory as yarn said:
Usage Error: The nearest package directory (/Users/someUser/Downloads/frontend-projects/ons/ons-frontend) doesn't seem to be part of the project declared in /Users/someUser/Downloads/frontend-projects.
The others have long explained why your code did not work. If you want to print output (or do other processing) after you have set the return value from your method, a general solution is to set the return value to a local variable and only return it at the end of the method. For example:
public String getStringFromBuffer() {
String returnValue;
try {
// Do some work
StringBuffer theText = new StringBuffer();
// Do more work
returnValue = theText.toString();
System.out.println(theText); // No more any error here
}
catch (Exception e)
{
System.err.println("Error: " + e.getMessage());
returnValue = null;
}
return returnValue;
}
string = input('Input your string : ')
for i in string[0::2]:
print(i)
The build.gradle file was missing the following dependency. The interceptors are compiling now.
implementation "org.apache.grails:grails-interceptors"
Just use Choco: choco install base64
it would be excelent if you provide job with step where you do terraform plan -out someplan.tfplan and ensure you use upload/download artifact only for someplan.tfplan
it is obvious you upload whole repo or some other stuff and not only terraform plan file. E.g. 200MB artifact compressed takes few seconds up and similar to download.
After some research I have found that I was trying to access a model instead of a classifier (which is what I had made). Therefore the corrected URL for this case is :
https://{namehere}.cognitiveservices.azure.com/documentintelligence/documentClassifiers/{classifier id here}:analyze?api-version=2024-11-30"
I think this might be related to some of the optimization mechanisms on how snowflake query works.
For smaller functions there is an inlining process.
You can read more here:
https://teej.ghost.io/understanding-the-snowflake-query-optimizer/
so your scalar UDF was just lucky because there is no implicit cast support
https://docs.snowflake.com/en/sql-reference/data-type-conversion#data-types-that-can-be-cast
For me the environment variable worked easy.
PUPPETEER_EXECUTABLE_PATH="/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" mmdc -i inputfile -o outputfile
The problem is that I had accidentally swapped the fig_size arguments. That line should read figsize=(n_cols + 1, n_rows + 1),. Doing this fixes the aspect ratio issue:
The premise of this question is flawed. My assumption that there was some sort of out-of-the-box integration with the Windows certificate store (more accurately called a keystore) was incorrect. The reason that Postman was accepting my internal CA issued server certificates is that SSL validation is disabled in Postman by default.
As an aside, this is the wrong default. I know that's an opinion but it's an opinion kind of like 'you shouldn't run wit scissors' or 'you shouldn't smoke around flammable vapors' is an opinion. If you use Postman, you should change the setting for SSL certificate verification under General:
You can disable SSL validation for a specific call if you need to for debugging purposes:
It seems the 'closed' issue linked in the question (first one) was closed with the wrong status. It is not 'completed' but rather a duplicate of an open feature request.
There does not appear to be any support for using a native OS certificate store (keystore) in Postman at this time and I don't see anything suggesting it will be supported anytime soon. If you need to call mTLS secured enpoints with a non-exportable client key, you will need different or additional tooling.
Thanks to TylerH for setting me straight.
Start with (DBA|USER)_SCHEDULER_JOBS and (DBA|USER)_SCHEDULER_JOB_RUN_DETAILS. DBMS_OUTPUT data is in OUTPUT column of (DBA|USER)_SCHEDULER_JOB_RUN_DETAILS.
# Step 1: Clean your project
rd /s /q node_modules
del package-lock.json
# Step 2: Install Tailwind CSS v3 with CLI
npm install -D tailwindcss@3 postcss autoprefixer
# Step 3: Initialize Tailwind config (this will now work)
npx tailwindcss init
You can do the following:
1- Go to "update to revision"
2 - Select working copy
3 - Choose items -> them select the new folder you want to update now
This can be caused by open file/folder handles in other process specifically within the .next folder.
For me, this was just another terminal that whose active directory was within the .next folder. Closing that terminal allowed the build to continue.
This is an older question, but I think I can answer it.
TL:DR When controlling layers from other comps, you shouldn't use time remapping.
Explanation: Everything within the remapped comp will compare its time value to the time value of the cotaining comps. So if you set a keyframe at frame 0 in the Stage comp, it will also affect the layers within the remapped Mouth comp at frame 0. It seems you have an offset of 01:27 seconds, so if you set the keyframe at frame 0 in Stage you won't see any changes, because the Mouth comp is already ahead.
validate in one string
if (!TimeZoneInfo.TryFindSystemTimeZoneById(timezoneId, out var tz)) return;
// here valid tz
This is a Youtube internal issue and can not be resolved with user changes to browser settings. Only Google/Youtube can fix this error.
Turns out it's not the same problem as in Android, the MediaPlayerElement does work in release and the issue is not related to linker or trimming. The issue is related to MediaPlayerElement requesting a locations permissions (probably for casting or something) and accepting the permission causes the Mediaplayer not to work.
I am working with a serial port to talk to hardware, from multiple threads. I need a critical section to make sure commands and responses are matched. Some write operations take a long time while I wait for the hardware to respond. Query operations to the hardware are low priority and I don't want them to wait for the long write operation, so TryEnterCriticalSection will be helpful for the queries.
OK I was not attentive enough, actually the --use-conda flag worked and the conda is the one that comes with snakemake because I am doing
conda:
"my_env.yml"
so the env is automatically created
Does somebody know if this flag can be also put into the profile?
Generally, only the operating system and preinstalled apps are able to control the radio on Android Automotive OS devices and there aren't APIs for other apps to control the radio. https://source.android.com/docs/automotive/radio has more information.
Turns out you just need to set one more option
config:
plugins:
metrics-by-endpoint:
useOnlyRequestNames: true
groupDynamicURLs: false
An error occurred: Cannot invoke "org.apache.jmeter.report.processor.MapResultData.getResult(String)" because "resultData" is null
I am also getting same issue and my result file is not empty got generated after test execution. Still getting same issue.
You mention the Apache max_input_vars as a limitation, but there is another limitation that is just as important: who will sift through thousands of log lines at a time and then submit their commentary input one at a time without regard for what they already submitted before and at the same time receive the same flood of log lines as they viewed before?
Conceptually I would paginate the log lines so that only 10 to mabe 100 are displayed at the same time, I would also give users the possibility to see by default a page of log lines that they haven't commented on before by making a filter available that removes log lines that the user commented on in the past.
Of course the filter of already commented on log lines would be implemented in the database by adding a field in the sql definition of the log lines that is initially unset for log lines that received no comments from the user and then set after the user submitted a comment for that log line.
For pagination I would make a query to first get from the database the most recent 10 or 100 log lines, display that index of log lines to the user with the display of what log lines counts they are currently seeing.
I would also consider the making of a comment on a particular log line an interface page of its own.
string = input('Input your string : ')
string = string.replace(' ','') # removing every whitespace in string
print(f'Your original string is {string}')
string = list(string)
for i in string[0::2]:
print(i)
https://github.com/keycloak/keycloak-client/issues/183 we should wait this fix for correct works
I had similar issue issue.
If you are using visual studio, please check updates, Azurite comes with Visual Studio, an update to Visual Studio professional fixed. It has updated Azurite as well.
Here is an alternative allowing for any size stack. A further advantage is that it counts up, rather than down, allowing for sp? to indicate stack depth.
\ A 3rd stack as in JForth
32 CONSTANT us_max
VARIABLE us_ptr 0 us_ptr !
CREATE us us_max 1+ CELLS ALLOT
us us_max CELLS ERASE
: us? ( -- u ) us_ptr @ ; \ Circular: 0, 1, 2 ... us_max ... 2, 1, 0
: >us ( n -- ) us? DUP us_max = IF DROP 0 ELSE 1+ THEN DUP us_ptr ! CELLS us + ! ;
: us@ ( -- n ) us us? CELLS + @ ;
: us> ( -- n ) us@ us? DUP 0= IF DROP us_max ELSE 1- THEN us_ptr ! ;
: test.3rd.stack
CR CR ." Testing user stack."
CR ." Will now fill stack in a loop."
us_max 1+ 0 DO I >us LOOP
CR ." Success at filling stack in a loop!"
CR CR ." Will next empty the stack in a loop."
CR ." Press any key to continue." KEY DROP
0 us_max DO
CR I . ." = " us> .
-1 +LOOP
CR ." Success if all above are equal."
CR ." Done."
;
test.3rd.stack
This does the trick.
get_the_excerpt( get_the_ID() )
Im having the exact same issue but im using a csv file to read. here is my code.
import-module ActiveDirectory
#enabledusers2 = Get-ADUser -Filter * -SearchBase "ou=TestSite, dc=domain,dc=com"
$enabledusers = (Import-Csv "C:\temp\scripts\UsersToChange.csv")
$enabledusers += @()
Foreach ($user in $enabledusers)
{
$logon = $user.SamAccountName
$tshome = "\\fileserver1\users$\$logon"
$tshomedrive = "H:"
$x = [ADSI]"LDAP://$($user)"
$x.psbase.invokeset("terminalserviceshomedrive","$tshomedrive")
$x.psbase.invokeset("terminalserviceshomedirectory","$tshome")
$x.setinfo()
Set-ADUser -Identity $user -HomeDirectory \\fileserver1\users$\$logon -HomeDrive H:
Write-Output $logon >> C:\temp\EnabledusersForH.csv
}
my .csv file I am using to import is got from using get-aduser and exporting it to a csv. I am using .csv because I have several hundred users that I need to change in different ou's. I have spent days on this. Im a ps newbie aswell so im totally lost.
Yocto's a pretty huge system, understanding the nuances is quite hard. I believe you're probably confusing patches and recipes.
To me, it looks like everything works as intended:
BBFILE_PRIORITY_meta-mylayer controls the priority of recipes.bb or .bbappend (aka recipe) overwrites the variables previously set by the same recipe in other layers.SRC_URI for that recipe. It behaves as I described above.If you want to change the patches that are applied you can remove patches from SRC_URI in your recipe.bb file:
SRC_URI:remove = "foo.patch"
Similar to how it's done for local.conf: Yocto: Is there a way to remove items of SRC_URI in local.conf?
Hey your questions seems confusing. Do you have any design that you can share about the tabs.
You can always increase the number of tabs to match with the number of pages you want.
You can read more about tabs here: https://docs.flutter.dev/cookbook/design/tabs
You can also read more about bottom nav bar which is more common in mobile UIs here
Your signaling is fine — the failure happens because the peers never complete the ICE connection.
Make sure you:
1. Call pc.addIceCandidate(new RTCIceCandidate(msg.data)) when receiving ICE from signaling.
2. Don’t send ICE candidates before setting the remote description — store them until pc.setRemoteDescription() is done.
3. Handle pc.ondatachannel on the non-initiator side.
4. Use the same STUN server config on both peers.
5. If still failing, test with a TURN server — STUN alone won’t relay traffic across NAT.
Most “connectionState: failed” issues come from missing addIceCandidate() or using only STUN behind NAT.
Check if you are sending, two responses at a time, the arguments are filled and you are not accessing two files at once
Thank you, Shehan! That was it!
I'm facing the same issue with a Flutter app that uses the Dart flutter_nfc_kit package. I had to open this ticket on the GutHub page.
I forke the plugin and tried to fix, but not working.
Could you log the short term memory contents right before you generate the response? That ought to help with debugging—see if it's similar to what you were expecting, or what's different.
v26.4.2 - Problem with displaying the permission tab on clients and identity Provider still persists. Does anyone know how to fix it?
What worked for me was to capture the click event on the td and stop the propagation
<td data-testId="item-checkbox" (click)="$event.stopPropagation()">
<p-tableCheckbox [value]="item" />
</td>
commenting out this line in plugin.js in the fonts plugin directory fixes the issue
//this.add( this.defaultValue, defaultText, defaultText );
Why is this question unsuitable for a normal Q&A? It looks like you are looking for an answer and not a discussion.
سلام، به stack overflow خوش آمدید،
با تشکر از مطرح کردن این مشکل. من هم متوجه شدم که پیادهسازی حافظهٔ کوتاهمدت در CrewAI با استفاده از تعبیههای Azure OpenAI ممکن است آنطور که انتظار میرود عمل نکند. این مشکل میتواند به دلیل تنظیمات نادرست Embedder، عدم فعالسازی صحیح حافظه، یا حتی مشکلاتی در نحوهٔ ارتباط با API باشد. من به دنبال راهنماییهای بیشتری هستم و بیصبرانه منتظر دریافت پیشنهادات شما برای حل این مشکل هستم. متشکرم!»
As per answer from here, the vi keybindings should not work at all, unless PYTHON_BASIC_REPL=1 is provided.
However, I would be also interested in vi keybindigs in default repl for python 3.13+
this is a foundational question, and understanding it deeply will give you a strong base for enterprise Java development. Let’s go step by step and then look at practical, real-world scenarios.
ChatGPT help me to answer your questions :)
https://chatgpt.com/share/6900c648-9fcc-8005-8741-72b4b9ca5d94
What is your deployment environment? Are you using dedicated search nodes? Or the coupled architecture? And could it be related to this issue where readPreference=secondaryPreferred appears to affect pagination?
This seems to work:
ndp(fpn,dp):=float(round(fpn*10^dp)/10^dp)$
e.g.
(%i4) kill(all)$
ndp(fpn,dp):=float(round(fpn*10^dp)/10^dp)$
for i :1 thru 10 do (
fpnArray[i]:10.01+i/1000,
anArray[i]:ndp(fpnArray[i],2));
listarray(fpnArray);
listarray(anArray);
(%o2) done
(%o3) [10.011,10.012,10.013,10.014,10.015,10.016,10.017,10.018,10.019,10.02]
(%o4) [10.01,10.01,10.01,10.01,10.02,10.02,10.02,10.02,10.02,10.02]
DECLARE @ShiftStart TIME = '05:30';
DECLARE @ShiftEnd TIME = '10:00';
SELECT DATEDIFF(MINUTE, @ShiftStart, @ShiftEnd) AS MinutesWorked;
Great answer https://stackoverflow.com/a/76920975/14600377
And this is for SvelteKit if someone needs
function closeBundle(): Plugin {
let vite_config: ResolvedConfig
return {
name: 'ClosePlugin',
configResolved(config) {
vite_config = config;
},
closeBundle: {
sequential: true,
async handler() {
if (!vite_config.build.ssr) return;
process.exit(0)
}
}
}
}
As this is the first result from google, the easiest way is for mac to simply configure the path with vscode:
https://code.visualstudio.com/docs/setup/mac#_configure-the-path-with-vs-code
SELECT DATEDIFF(day,'2025-10-20', '2025-10-28')