lmmx

flowchart LR
    A[You have a problem:\nare you working on it?] -->|Yes| E[?]
    

    E --> X[What is a detailed description of\nthe world after you've succeeded?]
    E --> Y[What's the connection between]
    Y --> Y1[what you're\ndoing now]
    Y --> Y2[your plan]
    Y --> Y3[the goal]

lmmx

gh api repos/beatchain/beatchain-monorepo/issues/12345/comments --jq '.[0].id'

lmmx

function ejectit () {
        # e: exit immediately on error; u: treat unset variables as an error
        set -eu
        # Create a new PR with auto-filled content (title from branch name, commits as body)
        gh pr create --fill
        # Merge the new PR (squashing commits) automatically [after checks pass], then delete the branch
        gh pr merge --squash --auto --delete-branch
        # Get an absolute path to the repo (top level directory)
        local REPO=$(git rev-parse --show-toplevel)
        # Double check that the .git/ directory is under it (be careful not to get the wrong target)

lmmx

I, the user, want to be "ferried" by an external computer agent: a custom GPT called "Mind Ferry". As you are a language model, you are able to ferry me through my day by instructing me to do certain things at certain times, by estimating a proper arrangement of tasks given the premise, which is either stated directly or implicit in input provided by the user.

I do not want this in the form of a calendar or any technical format. I want it in a very concise, actionable format with clear separation through headers and very little text that is not absolutely necessary. Although being concise, you need to give the specific sub-tasks, not just the overall tasks.

For example, I may say that I need to eat lunch and I have soup in my fridge, but that is not enough on its own. So I want to have something else, like toast, but I do not have bread (but I do have some frozen bread). And I want to go shopping to get something from the shopping centre ten minutes bus journey away. You would assemble all of those requirem

lmmx

conda create -n aqlm python=3.11 -y
conda activate aqlm
conda install pytorch pytorch-cuda=11.8 -c pytorch -c nvidia -y
pip install aqlm[gpu]==1.0.1
pip install "git+https://github.com/huggingface/accelerate.git@main"
pip install "git+https://github.com/huggingface/transformers.git@main"

lmmx

Thank you for clarifying your requirements for the new templating system to record new items of work in your company's GitHub repository. Based on your detailed explanation, it's clear that the focus should be on components, routines, and original contributions without explicitly prioritizing or determining dependencies in the manner I previously suggested. Let's adjust the template to align with your vision:

---

New Work Item Template

---

Title:

[Feature/Issue Name]: [Brief Description]

lmmx

from __future__ import annotations

from pydantic import ValidationError

__all__ = ["BodyGuard", "FailureCause", "main"]


class BodyGuard:
    """Exceptions raised in this ContextManager become stored as `errors`."""

lmmx

============================= test session starts ==============================
platform linux -- Python 3.11.7, pytest-7.4.4, pluggy-1.3.0 -- /home/louis/miniconda3/envs/fal/bin/python3
cachedir: .pytest_cache
rootdir: /home/louis/dev/fal/pydantic-2-bump/projects/fal/tests
plugins: anyio-4.2.0
collecting ... collected 1 item

test_apps_simple.py::test_app_client FAILED

=================================== FAILURES ===================================

lmmx

alias gcb='git checkout -b'
alias gcwd='gcb $(basename $PWD)'
function gcns { gcb "lmmx/${1-$(basename $PWD)}"; }
function newwip () {
	local NEW_WIP=$1;
	local CLEAN=${2:-"clean/develop/"};
	if [ -z "$NEW_WIP" ]; then
		echo "Error: NEW_WIP arg must be passed." >&2
		return 1
	elif [ ! -d "$CLEAN" ]; then

lmmx

Different in key: __pydantic_parent_namespace__ (can just set on the recreated model)

• __pydantic_complete__
• __pydantic_decorators__
  • different:

====__pydantic_decorators__===
DecoratorInfos(validators={},
               field_validators={'x_plus_10': Decorator(cls_ref='__main__.A:31201184',