wassname

import sympy as sp
from typing import Dict, Any
from IPython.display import display
from sympy import init_printing
init_printing() 


def shypothesis(hypothesis: str, variables: Dict[str, Any] = None, round=3, verbose=False):
    """
    Evaluate a hypothesis using SymPy, showing simplified equation and result.

wassname

from jaxtyping import Float, Int
import torch
from torch.nn import functional as F
from torch import Tensor
from typing import List, Callable, Tuple, Dict, Optional
import pandas as pd
from transformers import AutoModelForCausalLM, AutoTokenizer


def get_valid_next_choices(choices_tokens, current_tokens):

wassname

# Directly taken from https://huggingface.co/spaces/evaluate-measurement/perplexity/blob/main/perplexity.py
# TODO replace with a strided version https://github.com/huggingface/transformers/issues/9648#issuecomment-812981524
import numpy as np
import torch
import itertools
from torch.nn import CrossEntropyLoss
from tqdm.auto import tqdm
import torch.nn.functional as F
from datasets import load_dataset, Dataset
from transformers import AutoTokenizer, AutoModelForCausalLM

s3nh

#Add e5-instruct-mistral layers, so they naming is different than 
# original mistral instruct one

from __future__ import annotations

from typing import Sequence

from .constants import MODEL_ARCH, MODEL_TENSOR, MODEL_TENSORS, TENSOR_NAMES

0xdevalias

GitHub Copilot CLI API

Some notes and references while exploring the GitHub CLI extension for the GitHub Copilot CLI.

Table of Contents

• Deep Dive
  • GH_DEBUG=api gh copilot explain
• GH_DEBUG=api gh copilot suggest

wassname

STOP DOING MATH

• NUMBERS WERE NOT SUPPOSED TO BE GIVEN NAMES
• YEARS OF COUNTING yet NO REAL-WORLD USE FOUND for going higher than your FINGERS
• Wanted to go higher anyway for a laugh? We had a tool for that: It was called "GUESSING"
• "Yes please give me ZERO of something. Please give me INFINITE of it" - Statements dreamed up by the utterly Deranged

LOOK at what Mathematicians have been demanding your Respect for all this time, with all the calculators & abacus we built for them

wassname

#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

mrtysn

>>> What would you like ChatGPT to know about you?

I have been using computers since 1997. I know the ins and outs of them. 
Furthermore, I want to get a lot of high quality work done in a very short amount of time. 
I try to keep my search time at O(1) and I expect the same from others. 
Finding a way to solve a problem should be done very quickly with a very high accuracy.

>>> How would you like ChatGPT to respond?

— Be highly organized

izikeros

Text Splitter

A Python script for splitting text into parts with controlled (limited) length in tokens. This script utilizes the tiktoken library for encoding and decoding text.

Table of Contents

• Introduction
• Installation

qxcv

# from_gym.py adapted to work with Gymnasium. Differences:
#
# - gym.* -> gymnasium.*
# - Deals with .step() returning a tuple of (obs, reward, terminated, truncated,
#   info) rather than (obs, reward, done, info).
# - Also deals with .reset() returning a tuple of (obs, info) rather than just
#   obs.
# - Passes render_mode='rgb_array' to gymnasium.make() rather than .render().
# - A bunch of minor/irrelevant type checking changes that stopped pyright from
#   complaining (these have no functional purpose, I'm just a completionist who