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| # train_grpo.py | |
| # | |
| # See https://github.com/willccbb/verifiers for ongoing developments | |
| # | |
| """ | |
| citation: | |
| @misc{brown2025grpodemo, | |
| title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models}, | |
| author={Brown, William}, |
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| import boto3 | |
| dynamodb = boto3.resource('dynamodb', 'region-name') | |
| table = dynamodb.Table('table-name') | |
| scan = table.scan( | |
| ProjectionExpression='#k', | |
| ExpressionAttributeNames={ | |
| '#k': 'name' | |
| } |
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| using UnityEngine; | |
| /// <summary> | |
| /// Small helper class to convert viewport, screen or world positions to canvas space. | |
| /// Only works with screen space canvases. | |
| /// </summary> | |
| /// <example> | |
| /// <code> | |
| /// objectOnCanvasRectTransform.anchoredPosition = specificCanvas.WorldToCanvasPoint(worldspaceTransform.position); | |
| /// </code> |
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| ''' | |
| To run: | |
| python -m bokeh serve iex.py | |
| ''' | |
| import io |
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| Originall From: Posted 2015-05-29 http://ubwg.net/b/full-list-of-ffmpeg-flags-and-options | |
| This is the complete list that’s outputted by ffmpeg when running ffmpeg -h full. | |
| usage: ffmpeg [options] [[infile options] -i infile]… {[outfile options] outfile}… | |
| Getting help: | |
| -h — print basic options | |
| -h long — print more options | |
| -h full — print all options (including all format and codec specific options, very long) |
This is a guide for aligning images.
See the full Advanced Markdown doc for more tips and tricks
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| // Trie.js - super simple JS implementation | |
| // https://en.wikipedia.org/wiki/Trie | |
| // ----------------------------------------- | |
| // we start with the TrieNode | |
| function TrieNode(key) { | |
| // the "key" value will be the character in sequence | |
| this.key = key; | |
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| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) |
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