The tingling and palpitations that have been spreading throughout the body can be caused by several conditions. Here are some possibilities based on the search results:
Episodic Neurologic Symptoms: Patients with this condition usually complain of severe apprehension, dizziness, chest discomfort, palpitations, or fear of "losing control." The onset is usually under age 40[1].
Heart Attack or Panic Attack: Both conditions can cause chest pain, shortness of breath, dizziness, sweating, passing out, tingling, or a sensation of impending doom. These shared symptoms of heart and panic attack may also be caused by other serious conditions such as blood clots, lung infection or collapse, or tear in the large vessels of the chest for patients with certain pre-existing risk factors[2].
Atrial Fibrillation: The most obvious symptom of this condition is heart palpitations, where the heart feels like it's pounding, fluttering, or beating irregularly, often for a few seconds or possibly a few minutes. Other symptoms include tiredness, feeling lethargic, chest pain, dizziness, and shortness of breath[3][6].
Peripheral Neuropathy: Symptoms of this condition include numbness and tingling in the feet or hands, burning, stabbing or shooting pain in affected areas, loss of balance and coordination, and muscle weakness, especially in the feet. These symptoms are usually constant but may come and go[4].
It's important to see a doctor if you experience any of these symptoms to determine the underlying cause and receive appropriate treatment.
Citations: [1] https://www.ncbi.nlm.nih.gov/books/NBK374/ [2] https://www.cedars-sinai.org/blog/is-it-a-heart-attack-or-a-panic-attack.html [3] https://www.nhs.uk/conditions/atrial-fibrillation/symptoms/ [4] https://www.nhsinform.scot/illnesses-and-conditions/brain-nerves-and-spinal-cord/peripheral-neuropathy [5] https://www.webmd.com/heart-disease/heart-palpitations-emergency [6] https://www.hopkinsmedicine.org/health/conditions-and-diseases/atrial-fibrillation/afib-symptoms
https://www.maginative.com/article/china-issues-rules-for-generative-ai-mandating-adherence-to-socialist-values/
With the new rules, China seeks to strike a balance between advancing their AI capabilities while maintaining rigid ideological control.
To download a website for offline browsing using wget
, you can use the following command:
wget --recursive --no-clobber --page-requisites --html-extension --convert-links --restrict-file-names=windows --domains example.com --no-parent http://www.example.com
Replace example.com
with the website you want to download. This command will download the entire website, including all the elements that compose the page (images, CSS, etc.), and convert the links so that they work locally and offline[1].
Here's a brief explanation of the options used in the command:
--recursive
: Download the entire website recursively.--no-clobber
: Don't overwrite existing files.--page-requisites
: Download all the elements required to display the page properly (images, CSS, etc.).--html-extension
: Save files with the .html
extension.--convert-links
: Convert links so that they work locally and offline.--restrict-file-names=windows
: Modify filenames so that they work in Windows as well.--domains example.com
: Don't follow links outside the specified domain.--no-parent
: Don't follow links outside the specified directory.If the website uses external resources like jQuery, you can try using the --span-hosts
option to download resources from other domains as well:
wget --recursive --no-clobber --page-requisites --html-extension --convert-links --restrict-file-names=windows --domains example.com --span-hosts --no-parent http://www.example.com
However, this may also download additional content from other domains that you might not need. To avoid downloading unnecessary content, you can manually download the required resources (like jQuery) and update the HTML files to use the local copies instead.
Keep in mind that some websites may have measures in place to prevent downloading their content using tools like wget
. In such cases, you may need to adjust the command options or use alternative methods to download the website for offline browsing[6].
Citations: [1] https://www.linuxjournal.com/content/downloading-entire-web-site-wget [2] https://winaero.com/make-offline-copy-of-a-site-with-wget-on-windows-and-linux/amp/ [3] https://stackoverflow.com/questions/10842263/wget-download-for-offline-viewing-including-absolute-references [4] https://askubuntu.com/questions/391622/download-a-whole-website-with-wget-or-other-including-all-its-downloadable-con [5] https://superuser.com/questions/970323/using-wget-to-copy-website-with-proper-layout-for-offline-browsing [6] https://www.computerhope.com/unix/wget.htm [7] https://superuser.com/questions/1672776/download-whole-website-wget [8] https://gist.github.com/stvhwrd/985dedbe1d3329e68d70 [9] https://simpleit.rocks/linux/how-to-download-a-website-with-wget-the-right-way/ [10] https://www.guyrutenberg.com/2014/05/02/make-offline-mirror-of-a-site-using-wget/ [11] https://linuxreviews.org/Wget:_download_whole_or_parts_of_websites_with_ease [12] https://brain-dump.space/articles/how-to-get-full-offline-website-copy-using-wget-on-mac-os/ [13] https://dev.to/jjokah/how-to-download-an-entire-website-for-offline-usage-using-wget-2lli [14] https://alvinalexander.com/linux-unix/how-to-make-offline-mirror-copy-website-with-wget [15] https://askubuntu.com/questions/979655/using-wget-and-having-websites-working-properly-offline
I couldn't find this using the search.
To limit your Python requests to 1.39 requests per second, you can use the time.sleep()
function from the time
module to introduce a delay between requests. You can also use third-party libraries like pyrate-limiter
, requests-ratelimiter
, or ratelimiter
to achieve rate limiting.
Here's an example using the time
module:
import requests
import time
urls = [...] # List of URLs to send requests to
for url in urls:
response = requests.get(url)
print(response.status_code)
time.sleep(1 / 1.39) # Introduce a delay to achieve 1.39 requests per second
Alternatively, you can use the pyrate-limiter
library:
from pyrate_limiter import Duration, RequestRate, Limiter
import requests
rate_limit = RequestRate(1, Duration.SECOND / 1.39) # 1 request per 1.39 seconds
limiter = Limiter(rate_limit)
urls = [...] # List of URLs to send requests to
for url in urls:
with limiter:
response = requests.get(url)
print(response.status_code)
Another option is to use the requests-ratelimiter
library:
from requests import Session
from requests_ratelimiter import LimiterAdapter
session = Session()
# Apply a rate limit of 1.39 requests per second to all requests
adapter = LimiterAdapter(per_second=1.39)
session.mount('http://', adapter)
session.mount('https://', adapter)
urls = [...] # List of URLs to send requests to
for url in urls:
response = session.get(url)
print(response.status_code)
These examples demonstrate different ways to limit your Python requests to 1.39 requests per second. Choose the method that best suits your needs and project requirements.
Citations: [1] https://stackoverflow.com/questions/26098711/limiting-number-of-http-requests-per-second-on-python [2] https://pypi.org/project/requests-ratelimiter/ [3] https://github.com/vutran1710/PyrateLimiter [4] https://akshayranganath.github.io/Rate-Limiting-With-Python/ [5] https://stackoverflow.com/questions/40748687/python-api-rate-limiting-how-to-limit-api-calls-globally [6] https://pypi.org/project/limiter/ [7] https://github.com/JWCook/requests-ratelimiter [8] https://levelup.gitconnected.com/implement-rate-limiting-in-python-d4f86b09259f [9] https://limits.readthedocs.io [10] https://github.com/encode/httpx/issues/815 [11] https://365datascience.com/tutorials/python-tutorials/limit-rate-requests-web-scraping/ [12] https://www.seelk.co/blog/efficient-client-side-handling-of-api-throttling-in-python-with-tenacity [13] https://www.cisco.com/c/en/us/support/docs/security/firepower-ngfw/217900-troubleshoot-firepower-threat-defense-an.html [14] https://scrapfly.io/blog/how-to-rate-limit-asynchronous-python-requests/ [15] https://dev.to/paymon123/the-easiest-way-to-rate-limit-a-python-api-3njc [16] https://cloud.google.com/python/docs/reference/storage/1.39.0/retry_timeout [17] https://medium.com/clover-platform-blog/conquering-api-rate-limiting-dcac5552714d [18] https://subscription.packtpub.com/book/web_development/9781838983994/9/ch09lvl1sec72/api-rate-limiting [19] https://towardsdatascience.com/speeding-up-python-code-fast-filtering-and-slow-loops-8e11a09a9c2f [20] https://katiekodes.com/python-wrap-requests-functions/ [21] https://www.reddit.com/r/Python/comments/12xahnb/i_built_a_simple_and_efficient_rate_limiter_for/ [22] https://docs.alcf.anl.gov/theta/performance-tools/craypat/ [23] https://coderpad.io/blog/development/a-guide-to-api-rate-limiting-in-django/
To avoid defining the sqlite3.Connection
and sqlite3.Cursor
in many functions throughout your code, you can use the following approaches:
with
statement to manage the connection and cursor in your functions.import sqlite3
DB_FILE = "your_database_file.db"
class DatabaseConnection:
def __enter__(self):
self.conn = sqlite3.connect(DB_FILE)
self.cursor = self.conn.cursor()
return self.cursor
def __exit__(self, exc_type, exc_val, exc_tb):
self.conn.commit()
self.cursor.close()
self.conn.close()
def insert_post_to_db(issue: Issue, lemmy_post_id: int) -> None:
with DatabaseConnection() as cursor:
cursor.execute(
"INSERT INTO posts (issue_url, lemmy_post_id, issue_title, issue_body) VALUES (?, ?, ?, ?)",
(issue.url, lemmy_post_id, issue.title, issue.formatted_body),
)
import sqlite3
from functools import wraps
DB_FILE = "your_database_file.db"
def with_cursor(func):
@wraps(func)
def wrapper(*args, **kwargs):
conn = sqlite3.connect(DB_FILE)
cursor = conn.cursor()
result = func(cursor, *args, **kwargs)
conn.commit()
cursor.close()
conn.close()
return result
return wrapper
@with_cursor
def insert_post_to_db(cursor: sqlite3.Cursor, issue: Issue, lemmy_post_id: int) -> None:
cursor.execute(
"INSERT INTO posts (issue_url, lemmy_post_id, issue_title, issue_body) VALUES (?, ?, ?, ?)",
(issue.url, lemmy_post_id, issue.title, issue.formatted_body),
)
Both of these approaches help you avoid defining the connection and cursor in every function that interacts with the database. The context manager approach is more explicit and easier to read, while the function decorator approach is more concise. Choose the one that best fits your coding style and project requirements.
Citations: [1] https://stackoverflow.com/questions/14511337/efficiency-of-reopening-sqlite-database-after-each-query [2] https://stackoverflow.com/questions/50075325/python-sqlite3-nested-cursor-execute [3] https://blog.udemy.com/python-sqlite/ [4] https://stackoverflow.com/questions/54395773/what-are-the-side-effects-of-reusing-a-sqlite3-cursor [5] https://pynative.com/python-sqlite/ [6] https://arctype.com/blog/guide-sqlite-python/ [7] https://sqlite.org/forum/info/4393a42b3b5e2382 [8] https://docs.python.org/3/library/sqlite3.html [9] https://www.reddit.com/r/learnpython/comments/94i4k9/using_a_global_sqlite_cursor_across_multiple/ [10] https://stackoverflow.com/questions/9561832/what-if-i-dont-close-the-database-connection-in-python-sqlite [11] https://climbtheladder.com/10-python-sqlite-best-practices/ [12] https://pypi.org/project/cuttlepool/ [13] https://www.sitepoint.com/sqlite-python/ [14] https://pyneng.readthedocs.io/en/latest/book/25_db/sqlite3.html [15] https://www.geeksforgeeks.org/python-sqlite-connecting-to-database/ [16] https://towardsdatascience.com/python-sqlite-tutorial-the-ultimate-guide-fdcb8d7a4f30 [17] https://codereview.stackexchange.com/questions/285730/simple-connection-pool-for-sqlite-in-python [18] https://developer.android.com/training/data-storage/sqlite [19] https://www.blog.pythonlibrary.org/2021/09/30/sqlite/ [20] https://www.digitalocean.com/community/tutorials/how-to-use-the-sqlite3-module-in-python-3 [21] https://developer.android.com/topic/performance/sqlite-performance-best-practices [22] https://www.reddit.com/r/learnpython/comments/8tkbor/how_does_sqlalchemy_connection_pooling_work_with/ [23] https://pymotw.com/2/sqlite3/ [24] https://vegibit.com/interact-with-databases-using-the-python-sqlite3-module/ [25] https://blog.rtwilson.com/a-python-sqlite3-context-manager-gotcha/ [26] https://remusao.github.io/posts/few-tips-sqlite-perf.html [27] https://www.digitalocean.com/community/tutorials/how-to-use-an-sqlite-database-in-a-flask-application [28] https://www.tutorialspoint.com/sqlite/sqlite_python.htm [29] https://www.sqlite.org/whentouse.html [30] https://rogerbinns.github.io/apsw/execution.html [31] https://stackoverflow.com/questions/42635749/sqlite-database-connection-best-practice [32] https://realpython.com/python-mysql/
I wanted to start a discussion about the use of AI-generated solutions on Programming.dev. Personally, I've found that AI-powered tools have been incredibly helpful in solving programming questions. I won't name any specific commercial software, but I use one that combines GPT-4 and web search to get more factual information. I write some answers I think I might revisit to the ShareGPT community, but I would prefer posting programming solutions to this instance. However, I'm not sure if AI-generated solutions are welcomed on programming.dev. I'd love to hear your thoughts on this. If AI-generated responses are accepted, how should we format the answers, should we just copy paste without quoting, should we quote the model, just mention that it's AI-generated,...?
I'm wondering if it's possible to see the local feed of another instance from the one I'm using. I'm interested in exploring content from other instances without having to visit every single community, but I'm not sure how to do it. I've tried searching for a way to do this on the documentation and using the Lemmy search, but I haven't found any clear instructions. Does anyone know how to see the local feed of another instance? Any help or guidance would be greatly appreciated!
In Lemmy, the active filter view is designed to prioritize posts with the latest activity, similar to how forums work. However, it remains unclear whether commenting on your own post in Lemmy will bump it on the active filter view. Some forum platforms, such as Discourse, allow a practice known as the "ghost bump," where users can make a post and delete it to draw attention to their post without adding new content1. While it is uncertain if this is possible on Lemmy, it's worth noting that even if it were, it would result in an unnecessary comment that cannot be completely removed. The comment would still be visible, indicating that it was deleted by the post's creator. If you have any experience with Lemmy's active filter view or know whether commenting on your own post bumps it, please share your thoughts in the comments below.
@InternetPirate
@lemmy.fmhy.ml