There is a really nice way to recover the file's content if you are using Visual Studio Code. First, create a file with the same name as the one before it, then open it. The TIMELINE option is now visible in the bottom left corner. Select the most recent "File Saved" option to see the most recent information you saved.
- I've tried this for code file file and it works fine.
A static class is a special type of class that cannot be instantiated and only contains static members. It's used to group methods and data that belong to the class itself, rather than to any specific object.
I try and avoid this as much as possible. If performance is not critical, I suggest creating a executable in a language of your choice that calls your DLL.
You then execute the executable from node - use stdio or files to communicate between the processes.
That way you avoid all the issues with building c++ modules on node. Node can change its binary APIs between versions, change its build system and so on which has often broke things for me in the past.
tldr;
I was trying to run Clean straight out of MongoDb as a security measure - remove any properties that might have made it into the database that aren't in the schema. This is not possible out of the box with Typebox - you can never run "Clean" on an ObjectId. The author describes why much better than I can and I think he even gives hints on how to do it yourself. For me, I simply didn't find that functionality (using Typebox to run Clean, yet keep ObjectIds for use inside my api) worth the effort. Typebox is great for using Decode on incoming json and Encode on outgoing objects (converting to json). I only clean at these two times, and it's working great now. In both cases, all ObjectIds are strings before the Clean takes place.
For me, I tried Hive 4-LLAP, with the following procedure.
Execute llap-service.sh. This produces a new directory: llappkg/
Update Yarnfile to remove "placement_policy"
Execute llappkg/run.sh, and this creates a new Yarn service "llapservice"
Start HiveServer2 and execute queries.
However, the is no documentation available on Hive-LLAP, so it's hard to tune parameters.
If you are using Hive on Tez and still interested in achieving the performance of Hive-LLAP wit ease, there is an alternative solution Hive on MR3. Please check out the blog that compares Hive 4 on Tez and Hive 4 on MR3 (along with Trino 468 and Spark 4.0.0-RC2).
2025-05-01 10:34:01.607 WARNING streamlit.runtime.scriptrunner_utils.script_run_context: Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.
2025-05-01 10:34:01.755
←[33m←[1mWarning:←[0m to view this Streamlit app on a browser, run it with the following
command:
streamlit run C:\Users\str.py [ARGUMENTS]
2025-05-01 10:34:01.755 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.
This blog post describes a workaround of storing a token as a SSM parameter and then using ssm.StringParameter.valueFromLookup to access the string value.
The netCDF files had several data arrays apart from time. So I first read time, associated time with name of the netCDF file it belongs to, and repartitioned the dataframe. Subsequently I added more columns using UDFs. This approach gave almost identical performance for the case where I had had 200,000 frames distributed evenly in either 4 or even 4000 files.
Just experienced this issue in Xcode 16.2. After deleting the derived data, rebooting the mac, re-building the project, cleaning the project, nothing worked. The solution was to force quit Xcode and re-open. The blue outlines went away, and the "internal error" warning was also gone.
Could you try running prefect-cloud login --key <key>(note the - in prefect-cloud) and see if that works instead? Additionally would you mind sharing your browser version?
In case that doesn't work here are some other workarounds:
1: Try Chrome (if you're not already)
2: Manually create/edit ~/.prefect/profiles.toml to look like:
active = "prefect-cloud"
[profiles.prefect-cloud]
PREFECT_API_URL = "https://api.prefect.cloud/api/accounts/<your account id>/workspaces/<your workspace id>"
PREFECT_API_KEY = "<your api key>"
3: Use environment variables:
export PREFECT_API_URL="https://api.prefect.cloud/api/accounts/<your account id>/workspaces/<your workspace id>"
export PREFECT_API_KEY="<your api key>"
Probably int() the integer first to ensure that it is an integer, not a string or any other value type.
Also, you can check the integer value by using print(type(Integer)) and make sure that it prints: <class 'int'> in the console.
Happy coding!
The outlines library is designed to help structure outputs from language models, but as of my last knowledge update in October 2023, it may not fully support streaming contexts directly. If you're looking to enforce a specific output format from your LLM in a streaming manner, here are some steps and suggestions:
Check Library Updates: Since libraries are frequently updated, check the official documentation or GitHub repository for any recent changes regarding streaming support.
Custom Formatting: If outlines lacks streaming capabilities, consider implementing a custom solution. You can create a wrapper around the LLM output to enforce the desired format. This would involve parsing the streamed output and validating it against the specified format.
Pydantic Integration: Continue using Pydantic for response validation. Once you receive the output from the LLM, you can pass it to a Pydantic model to ensure it conforms to your specifications.
Asynchronous Handling: Ensure your FastAPI setup is properly handling asynchronous calls, especially when dealing with streaming data. Use async functions to manage the flow of data efficiently.
Community Feedback: Since you mentioned others might have similar issues, consider reaching out in forums or communities like GitHub discussions, Stack Overflow, or dedicated Discord servers for FastAPI, RAG systems, or the specific libraries you are using.
Windows Registry Editor Version 5.00
[HKEY_CLASSES_ROOT\.js]
@="JSFile"
manually: use regedit:
go to HKEY_CLASSES_ROOT\.js:
set (Default) = JSFile
assoc .js=JSFILE did not work for me: assoc was not editing the registry, and cscript.exe was reading from the registry:
whatever value is set as (Default), cscript.exe will attempt to read the following key: HKEY_CLASSES_ROOT\%s\ScriptEngine, normally, it would be HKEY_CLASSES_ROOT\JSFile\ScriptEngine
I got this error while running cscript.exe on a script.js
A simple way to detect motion (naively intended as pixel intensity variation) is by using background subtraction.
Check this OpenCV tutorial. Note that one of the main assumptions here is that the scene background remains 'static'. So every time an object comes or moves in the scene, you can detect it, and for example, track it using a centroid given by the average of the pixels mask.
See Motion Detection: Part 3 - Background Subtraction for a concrete example.
If you want to consider just a part of the image, do as suggested in the other answers.
Check your security group. That was my issue. I needed a security group attached to the infrastructure config with an ingress rule from vpc cidr to all ports.
There must be a new vulnerability circling. My site was just hit.
Unauthorized plugin was installed called "catnip" which featured standard c&c features. Automatic administrator login, remote file downloading, basically access to the entire site.
Site named changed to "darkoct02". User was registered shortly after with the username "fallinlove" that had admin permissions and a chefalicious mailbox.
The bot is also shown as online in the Discord server I have invited it to. On my end, it does work. (Note: obviously at this stage, you can't do anything with the Discord bot as you haven't implemented any commands, but it should be displaying as online as it does for me).
Given this, I would ask that you comment providing further information about the version of node and discord.js that you are using, and to confirm that you have added the Discord bot to your server? Without this information, we can't provide further help, given you did state above that it does not work.
Some changes I would recommend to improve your code's readability in the meantime:
package.json
Add the following:
"type": "module",
index.js
// Imports at the top, switch to ES6 imports if possible instead of CommonJS
import { Client, Events, GatewayIntentBits } from "discord.js";
// Switch from string intents to the IntentsBitField class for better type safety
const client = new Client({
intents: [
GatewayIntentBits.Guilds,
GatewayIntentBits.GuildMessages
]
});
console.log("Beep! Beep!🤖Bot Pending!");
// Improve clarity by moving the console.log inside of the event listener
// Switch from string events to the Events enum for better type safety
client.on(Events.ClientReady, () => {
console.log("Beep! Beep!🤖Bot Running!");
});
// Ensure login() is always the last line in the file, and token is stored in a separate file.
client.login("token");
To anyone who comes here to see why the Id field of your model is defaulted to 0 during instantiated (through new Foo() for example), see here for reference. It is the C#'s design to default integral data type like int to 0 when it is not assigned a value.
Had the same problem and all my numbers in the destination data frame column were strings, also some of the bars didn't show when I plotted a bar graph.
This one is sneaky, because it is not explicitly mentioned anywhere in the reference manual (RM0490). The only clue given is by looking at the system architecture diagram on page 40:
For this chip, the GPIO ports are directly connected to the core, not the AHB bus, so the DMA has no access to them. It would seem that they opted for this layout to improve latency.
To trigger pins through DMA writes, you have to disable the preload of CCRx channels, and write values at the extremities (0 or ARR) to cause the outputs to flip accordingly.
What fixed it for me was right clicking the file in file explorer -> open in terminal > npm create vite@latest. Using the command prompt in VSCode is what caused the "..." issue.
also make sure you have the latest version of npm and node
Verso 1
Veinte inviernos y un café,
tus ojos siguen siendo mi amanecer.
Y aunque el mundo nos probó,
ninguno soltó el timón.
Hubo noches sin dormir,
meses grises que aprendimos a escribir.
Pero el amor no es de papel,
es de barro y de miel.
Estribillo
Y aquí estamos, con arrugas en la piel
pero el alma todavía en su primer hotel.
Nos juramos sin anillos de cartón,
y nos fuimos fieles por convicción.
Criamos un hijo y un montón de sueños,
con más abrazos que diseños.
Tú y yo, sin filtros, sin red social,
solamente amor… el real.
Verso 2
Te amé cuando el sueldo no alcanzaba,
y cuando el miedo nos llamaba.
Te amé cuando dudaste de ti,
y cuando fuiste más fuerte que a mí.
Y no fuimos perfectos, ni falta hacía,
el amor real se escribe día a día.
Lo que el tiempo no robó,
fue lo mucho que aún nos damos los dos.
Estribillo final
Y aquí estamos, sin pedirle nada al destino,
más que el derecho a seguir este camino.
Veinte años y un hijo que ya vuela,
pero tú sigues siendo mi estrella.
2143289344 is nan interpreted as a int (a float nan). NaN exists only as floats and doubles.
(I came to this question checking it, where I could find this number: 2143289344 )
Removal of the bson/primitive package. This package is now merged with the bson package. To update your code, remove any bson/primitive import statements and change any instance of primitive.ObjectID to bson.ObjectId.
I found the solution. I initially defined the file name variable without a default value. This did not give any errors, but apparently caused the Excel Source to fail every time I opened its editor to make any edits. My guess is that the Excel Source was trying to open a valid Excel file even just to configure the package. The fact that the variable was being assigned properly during runtime was not good enough.
This doesn't directly address the question of "how do I get the ID from a published Google Doc." I couldn't figure out how, unfortunately.
But if you're just trying to read data from the document, the webpage for a published Google Doc has very simple HTML to parse (right now at least). For example:
You don't need to use API calls or create any endpoints for online validation in this case. Validation can be handled directly on the client side, depending on your requirements and the architecture of your app. If you're referring to validating user input or form data, consider using client-side libraries or built-in validation methods instead of relying on a backend service.
thanks for the help guys , i found the workaround , by overriding the whitenoise's CompressedManifestStaticFile storage , in the above code , just override the post_process_with_compress function by the whitenoise storage to include the minification after the hashes has been calculated by the Django's default ManifestStaticfile , since it calculates hashes 3 times (default behaviour for tackling import statements in js and css files) and whitnoise keeps track of the hashes and continues after the hashes has been finalised , also override save function instead of _save method because the default behaviour is to compute hashes from the locally stored files since the collected files maybe stored on a faraway different server like S3 , so the minification has to be done 2 times per file , when first initialized and afterwards only for the changed files but still for every computed hashed file , take a look at the code below.
class MinifiedStaticFilesStorage(CompressedManifestStaticFilesStorage):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def minify_js(self, content_str, name):
"""Minify JavaScript using Terser and validate output."""
terser_path = (
Path("./node_modules/.bin/terser.cmd").resolve()
if os.name == "nt"
else Path("./node_modules/.bin/terser").resolve()
)
try:
command = f'"{terser_path}" -m -c' if os.name == "nt" else [terser_path, "-m", "-c"]
# Explicitly specify Terser CLI path if installed locally
result = subprocess.run(
command,
input=content_str.encode("utf-8"),
capture_output=True,
check=True,
)
minified = result.stdout
if not minified:
raise ValueError("Terser returned empty output")
return minified
except (subprocess.CalledProcessError, FileNotFoundError, ValueError) as e:
print(f"Minification failed: {str(e)}. Using original content.")
return content_str.encode("utf-8") # Fallback to original
def minify_css(self, content_str, name):
cleancss_path = (
Path("./node_modules/.bin/cleancss.cmd").resolve()
if os.name == "nt"
else Path("./node_modules/.bin/cleancss").resolve()
)
try:
command = f'"{cleancss_path}"' if os.name == "nt" else [cleancss_path]
result = subprocess.run(
command,
input=content_str.encode("utf-8"),
capture_output=True,
check=True,
)
minified = result.stdout
if not minified:
raise ValueError("clean-css returned empty output")
return minified
except (subprocess.CalledProcessError, FileNotFoundError, ValueError) as e:
print(f"CSS Minification failed: {str(e)}. Using original content.")
print(name)
return content_str.encode("utf-8")
def save(self, path, content):
"""Override to handle minification during initial save."""
if path.endswith((".mjs", ".js")):
content_str = content.read().decode("utf-8")
content.close()
minified_content = self.minify_js(content_str, path)
return super().save(path, ContentFile(minified_content))
elif path.endswith(".css"):
content_str = content.read().decode("utf-8")
content.close()
minified_content = self.minify_css(content_str, path)
return super().save(path, ContentFile(minified_content))
else:
return super().save(path, content)
def post_process_with_compression(self, files):
# Files may get hashed multiple times, we want to keep track of all the
# intermediate files generated during the process and which of these
# are the final names used for each file. As not every intermediate
# file is yielded we have to hook in to the `hashed_name` method to
# keep track of them all.
hashed_names = {}
new_files = set()
self.start_tracking_new_files(new_files)
for name, hashed_name, processed in files:
if hashed_name and not isinstance(processed, Exception):
hashed_names[self.clean_name(name)] = hashed_name
yield name, hashed_name, processed
self.stop_tracking_new_files()
original_files = set(hashed_names.keys())
hashed_files = set(hashed_names.values())
if self.keep_only_hashed_files:
files_to_delete = (original_files | new_files) - hashed_files
files_to_compress = hashed_files
else:
files_to_delete = set()
files_to_compress = original_files | hashed_files
self.delete_files(files_to_delete)
self.minified_files_to_compress(hashed_files)
for name, compressed_name in self.compress_files(files_to_compress):
yield name, compressed_name, True
def minified_files_to_compress(self, paths):
"""Minify all JS and CSS files in the given paths using threading."""
def process_file(name):
if name.endswith((".js", ".mjs")):
with self.open(name) as original_file:
content_str = original_file.read().decode("utf-8")
minified = self.minify_js(content_str, name)
with self.open(name, "wb") as minified_file:
minified_file.write(minified)
elif name.endswith(".css"):
with self.open(name) as original_file:
content_str = original_file.read().decode("utf-8")
minified = self.minify_css(content_str, name)
with self.open(name, "wb") as minified_file:
minified_file.write(minified)
with ThreadPoolExecutor() as executor:
futures = (executor.submit(process_file, name) for name in paths)
for future in as_completed(futures):
future.result() # Wait for each minify job to finish
I can't assume that the log error message is the actual issue. A Heroku error may be a symptom rather than the actual issue.<br>
Installation of the Heroku builds-plugin ought to be routine.<br>
Thank you to Scott Chacon for Pro Git (online, for free). It's a lifesaver.<br>
A shoutout and thank you for this SO 44822146 @https://stackoverflow.com/users/1927832/suresh-atta and to @https://stackoverflow.com/users/3486743/vmarquet for this command: git push heroku main:main --no-verify <br>
The currently accepted answer by @Paebbels is now outdated and suboptimal since Sphinx enabled the toctree directive to recognise genindex, modindex, and search directly, available starting with Sphinx 5.2.0 (listed as #10673).
Without creating the name-conflicting files, write the toctree as such:
.. toctree
:caption: Appendix
genindex
Credit goes to @funky-future self-answering on 2023-04-09 on the linked issue from the question comments above. I found this question before that one and almost ended up using the approach here, so I felt I should preserve this new approach here as well for posterity.
A visualization of the invocation tree of the recursive quicksort() function can help understand how it works:
import invocation_tree as ivt
def quicksort(data):
if (len(data) < 2):
return data
pivot = data[0]
return quicksort([i for i in data[1:] if i < pivot]) + \
[pivot] + \
quicksort([i for i in data[1:] if i >= pivot])
data = [49, 97, 53, 5, 33, 65, 62, 51, 100, 38]
tree = ivt.blocking()
print( tree(quicksort, data) )
Visualization made using invocation_tree, I'm the developer.
(remove this line if considered self promotion)
I don't know if the documentation has changed since, but the trick here is that you need to start the test first. In your test runner, tick "Show browser", then start the test you want to extend. Once that test completes, the browser window will stay open. Put your cursor where you want it and then start recording from cursor.
It turns out the right way to do this is with a context manager.
def get_convex_hull(file) -> PointCloud:
with Color("srgba(0,0,0,0)") as transparent:
with image.Image(filename=file) as img:
points = img.convex_hull(background=transparent)
return points
you can make use of list tag to have multiple rows:
-- Use := for assignment in LET
LET textMessage varchar := (
SELECT LISTAGG('Table: ' || table_name || ' | Duplicates: ' || value, '\n')
FROM SNOWFLAKE.LOCAL.DATA_QUALITY_MONITORING_RESULTS
WHERE METRIC_NAME = 'CHECK_DUPLICATE_ID_FLAG'
AND MEASUREMENT_TIME > DATEADD('DAY', -1, CURRENT_TIMESTAMP())
AND VALUE > 0
);
Put "about:config" into the browser in the search field enter: "browser.tabs.remote.autostart" and set its value to False. Restart the browser. It worked for me, if someone struggles with the same...
"
Total noob here, installed Kali on old laptop just because is cool and wanted to test if youtube is working. it was crashing :(
for me I was using Sequoia on VMWare when I got this error. go to the network settings in Windows and find the driver name you're using (WIFI or ethernet) and choose the same one in the VMWare -> Virtual Network Editor (press Change Settings)
then choose the same one from the drop down. it should work.
This is improvement for @hamstergene answer. Implementation location has been changed and all implementations calls the same API implemented differently for different systems.
Current code for closing descriptor is located here and looks like this:
impl Drop for FileDesc {
fn drop(&mut self) {
usercalls::close(self.fd)
}
}
It's very simple, highlight the cells you want to format. And select the rule to be the cells themselves (make sure they're not locked) against a cell where you have that date, figuring eventually this will change. Then just select a color that you prefer.
Sorry I can't answer directly on jayjojayson's post but do not use that answer.
The answer contains a script that is hosted in an s3 bucket and in fact that s3 bucket seems to have been taken over and the script has been replaced by a popup telling you that you should contact them via mail.
Never embed scripts like this that you do not have control over and if you really need to for whatever reason, then at least add a Subresource Integrity (https://developer.mozilla.org/de/docs/Web/Security/Subresource_Integrity) hash so that the browser won't load a script that has been tempered with.
On bubble.io inputs, you have the ability to check a box that says "enable auto-binding", and it will allow you to have the input automatically saved to the parent element, based on what field you use for the input.
If you want to make a version of the data that is only saved at the end of the day, just make a temporary object that the data is auto-bound too, and then at the end of the day, copy that object as the permanent object.
Resolved the delay. It was related to realtime listeners that were updating while the cloud function was in progress. After pausing the realtime listeners, the response is fast, even with a data large payload.
Technically, you are not looking to use a 'forward'. You want to use a 'redirect; forwards are redirects internal to the application (ie think one api calling another) while redirects are mainly for external communication.
par = int(input())
strokes = int(input())
if par not in range(3,6) :
print('Error')
elif par - strokes == 2:
print('Eagle')
elif par - strokes == 1:
print('Birdie')
elif par == strokes:
print('Par')
elif strokes - par == 1:
print('Bogey')
When you call the authorize method in your controller, you are passing the policy as the argument instead of the user class/model as defined in your policy in the view method. You should obtain the user first in your controller and pass it as the second argument in your $this->authorize() method. This could be something along the lines of in your controller
$user = auth()->user();
this->authorize('view', $user);
// rest of the code
Since Rails 7.1, the preferred way to do this is now with normalizes. I've also substituted squish for strip as suggested in the other answers, as it is usually (but not always) what I want.
class User < ActiveRecord::Base
normalizes :username, with: -> name { name.squish }
end
User.normalize_value_for(:username, " some guy\n")
# => "some guy"
Note that just like apneadiving's answer about updating the setter method, this will also avoid the confusion that can arise from using a callback that fires on saving a record, but doesn't run on a newly instantiated (but not saved) object:
# using a before_save callback
u = User.new(usernamename: " lala \n ")
u.name # => " lala \n "
u.save
u.name # => "lala"
# using normalizes or overriding the setter method
u = User.new(usernamename: " lala ")
u.name # => "lala"
u.save
u.name # => "lala"
You are upgraded to the newest responsive engine. You can tell because you have the option of "Container Layout". Your problem can be solved by removing the min-width from the "Project headers" element, allowing it to be smaller than 1018 pixels.
To test in Stripe, you need to use your test API keys when doing things like creating a PaymentIntent - it looks like you are using your live mode keys here.
