UPDATE: This is tested and working on both Linux and Windows 11 used for LlaMa & DeepSeek
Here's a sample README.md file written by Llama3.2 using this docker-compose.yaml file that explains the purpose and usage of the Docker Compose configuration:
ollama-portal
A multi-container Docker application for serving OLLAMA API.
| """ | |
| DISCLAIMER: This is a quick prototype, it's not at all tested, and may be deeply cryptographically flawed. | |
| Normally, JSON canonicalization is at least O(nlogn), because you need to sort the map keys. | |
| This approach avoids the need to do that, and in theory it's O(n), but in practice it's probably slower for most inputs... I have not benchmarked. | |
| If you limit recursion depth, you could implement it as an Online Algorithm https://en.wikipedia.org/wiki/Online_algorithm | |
| NB: Python's JSON parser allows duplicate map keys, which this impl will be oblivious to. |
| #!/usr/bin/bash | |
| DRIVE_ID[0]=/dev/disk/by-id/wwn-0x50014ee2ae42a608 # 2TB Disk model: WDC WD20EADS-00S | |
| DRIVE_ID[1]=/dev/disk/by-id/wwn-0x50014ee20a7836a8 # 4TB Disk model: WDC WD40EZRX-00S | |
| DRIVE_ID[2]=/dev/disk/by-id/wwn-0x5000c500b1841369 # 8TB Disk model: ST8000NM0055-1RM | |
| DRIVE_ID[3]=/dev/disk/by-id/wwn-0x5000c500b1844fe1 # 8TB Disk model: ST8000NM0055-1RM | |
| DRIVE_ID[4]=/dev/disk/by-id/wwn-0x5000c500b185901f # 8TB Disk model: ST8000NM0055-1RM | |
| for DRIVE_NUM in "${!DRIVE_ID[@]}"; do # init some variables | |
| DRIVE_STATE_OLD[$DRIVE_NUM]="" |
| import System.Random | |
| import Data.String | |
| record Game where | |
| constructor MkGame | |
| answer : Nat | |
| tries : Nat | |
| Show Game where | |
| show (MkGame answer tries) = "Game (answer = \{show answer}, tries = \{show tries})" |
| # I was looking for a rate limiting library to call rate limited apis as closely | |
| # as possible to their enforced limits. I looked at the first few python libraries | |
| # that I found, and when I glanced at the source, they were all clearly broken. | |
| # Curious how this could be, I took all the top google and pip search results for: python rate limiting | |
| # and tried to get them to do the wrong thing and fail to rate limit in situations that could come up | |
| # in normal use (though in some cases very specific use) | |
| # https://github.com/tomasbasham/ratelimit | |
| # Where broken: |
| #define STEP 12 | |
| void setup() { | |
| // 200 step per revolution motor driver on this pin. | |
| pinMode(STEP, OUTPUT); | |
| } | |
| void topSpeed_1Turn() { | |
| for (int i = 0; i < 200; i++) { | |
| // Issue 1 step. |
The Hyper Agent Protocol (HAP) is a new, simplified standard for how software "agents" (or any automated services and capabilities) communicate with each other over the web. Imagine a universal way for different software components to discover what other components can do and then ask them to do it, all using standard web technologies.
The goal of HAP is to make it much easier to build flexible, interoperable systems where different services, tools, or AI agents can work together seamlessly, regardless of how they are built internally.
Source: https://developer.wordpress.org/advanced-administration/
Welcome to the WordPress Advanced Administration Handbook! Here you will find WordPress advanced documentation. Use the “Contents” menu on the left to navigate topics.
Not all users who use WordPress have to know about technology, and therefore in its documentation should not appear either, and developers do not have to know certain advanced system configurations.
