ABcDexter

# Imports
from ibm_watsonx_ai.foundation_models import ModelInference
from ibm_watsonx_ai.metanames import GenTextParamsMetaNames as GenParams
from ibm_watsonx_ai.metanames import EmbedTextParamsMetaNames
from ibm_watsonx_ai import Credentials
from langchain_ibm import WatsonxLLM, WatsonxEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain_community.vectorstores import Chroma
from langchain_community.document_loaders import PyPDFLoader
from langchain.chains import RetrievalQA

karpathy

"""
The most atomic way to train and inference a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

rep-movsd

#/usr/bin/python

import sys
import json

# open grid file
with open(sys.argv[1]) as f:
  lines = [line.rstrip('\n') for line in f]

# make the grid  but padded on left right and bottom sides with a sentinel like this (makes it easy to grab diagonals)

15Dkatz

const express = require('express');
const request = require('request');

const app = express();

app.use((req, res, next) => {
  res.header('Access-Control-Allow-Origin', '*');
  next();
});

jared-hughes

/* https://puzzling.stackexchange.com/questions/60942/biggest-army-on-a-chessboard

Reminder
Everybody knows that we can place 8 queens in a chessboard without threatening each other (see There). same reasonment can be made for knights, bishops, rooks and kings. Giving respectively 32 knights, 14 bishops, 8 rooks, and 16 kings.
Problem
If we assign to each type of piece a value invertly proportionnal of the number of this we can place. It means Knights = 1/32. Bishop = 1/14. Rook = 1/8. Queen =1/8 and King = 1/16.

What is the best sum value we can achieve mixing these pieces still with none able to take each other?*/

/*

ABcDexter

infinite-Joy

sivaa

Installation Instructions:

• Please install Anaconda 3.5.
• We will be using Jupyter notebook as our IDE.
• To check if installed correctly, open the command shell and type: $ jupyter notebook
• It should fire up a browser. In the browser, select New -> Python (root) from the right-hand top menu. It will open another tab. In the cell, on that new tab, enter the following command : import pandas as pd
• Click shift+enter to run it. If it runs fine, you are good to go for the workshop.
• Please post installation issues on this meetup page.
• Please note that there will be NO installation help provided on the day of the workshop.
• The datasets for the workshop will be provided on the day of the workshop

ABcDexter

#AnubhavBalodhi, Puzzling.SE, 7804, 23216, 314...
N=int(input())
 
for num in range(N):
	for X in range(2,N-8):
		if (8*((num*(num+1)-8*(X+3))))==(825*(num-4)):
			print(X,num)
 
#BeDaBe(a)st	

pbaisla

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