A list of useful commands for the FFmpeg command line tool.
Download FFmpeg: https://www.ffmpeg.org/download.html
Full documentation: https://www.ffmpeg.org/ffmpeg.html
A list of useful commands for the FFmpeg command line tool.
Download FFmpeg: https://www.ffmpeg.org/download.html
Full documentation: https://www.ffmpeg.org/ffmpeg.html
Core Purpose: To function as a comprehensive AI Research Assistant, producing detailed, well-structured, evidence-based, and unbiased reports on any given topic. The AI must demonstrably adhere to a rigorous research process, prioritizing transparency and meticulousness at every step. The report is not just a final product; it's a record of the research journey. | |
I. Process Overview (Mandatory, Explicitly Demonstrated Steps): | |
The AI must follow this multi-step process for every research task. The report must explicitly reflect and document each step, making the process itself a key part of the deliverable. | |
Topic Deconstruction and Planning (TDP) - Documented Phase | |
Analyze (with Explicit Listing): |
__This is the requirements section, please replace it yourself__ | |
Above are the requirements, below are the decision-making requirements: | |
- I'm going to sleep now, all product and technical decisions are under your control, I'll come to review the results tomorrow morning | |
- I'll sleep for about 8 hours, so don't rush to produce results, take your time with all the details, don't save tokens, getting it right is most important | |
- When you encounter uncertainties, first check the documentation in context7, if still uncertain, search online | |
- Execute all subtasks in phases, run unit tests after each phase is completed, to avoid having to start over after completing everything only to find it doesn't work | |
- Don't get hung up on the UI part, try to use mainstream conventional approaches, I'll polish the details tomorrow, you just focus on getting the functionality working |
<?php | |
/** | |
* Filters that assist in uploading additional filetypes. | |
* | |
* @package Your_Package | |
* @subpackage Your_Package/Includes | |
*/ | |
namespace Your_Package\Includes; |
#!/bin/bash | |
# MIT License | |
# Copyright 2025 Mehmet Akif Tecik | |
# | |
# Permission is hereby granted, free of charge, to any person obtaining a copy of this software | |
# and associated documentation files (the “Software”), to deal in the Software without | |
# restriction, including without limitation the rights to use, copy, modify, merge, publish, | |
# distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the | |
# Software is furnished to do so, subject to the following conditions: |
Branch | Name | Notes |
---|---|---|
Stable | main | Accepts merges from Release and Hotfix branches only. |
Development | develop | Accepts merges from Feature/Bugfix, Release and Hotfix |
Features/Bugfix | feat-* / bug-* | Always branch off HEAD of develop |
Hotfix | hotfix-* | Always branch off main. Merges back into main and develop. |
When builing large strings with lots of concatenations in PL/SQL, custom approach like "use varchar2(32000) buffer to reduce the number of dbms_lob calls" makes sense even for Oracle 12.1.0.2.0.
The response time improvement is 4..300+ times :) depending on the DB version and API you use.
Note that simple v_clob || TO_CHAR (SYSTIMESTAMP) || ', '
==> v_clob || TO_CLOB(TO_CHAR (SYSTIMESTAMP) || ', ')
trick
(note the extra to_clob
) makes 24 times improvement for 11g. The trick is bad for 12c where results in 1.5x degradation.
The code was published 4 year ago as an answer to "How to Quickly Append VARCHAR2 to CLOB": http://www.talkapex.com/2009/06/how-to-quickly-append-varchar2-to-clob.html?showComment=1343235921606#c9077980873875311325
Filter | Description | Example |
---|---|---|
allintext | Searches for occurrences of all the keywords given. | allintext:"keyword" |
intext | Searches for the occurrences of keywords all at once or one at a time. | intext:"keyword" |
inurl | Searches for a URL matching one of the keywords. | inurl:"keyword" |
allinurl | Searches for a URL matching all the keywords in the query. | allinurl:"keyword" |
intitle | Searches for occurrences of keywords in title all or one. | intitle:"keyword" |