joshwatson

import struct
import threading

import binaryninja as bn


class Graph(object):
    def __init__(self, view):
        # type: (Graph, bn.BinaryView) -> None
        self.view = view

mattifestation

<?xml version="1.0" encoding="utf-8"?>
<SiPolicy xmlns="urn:schemas-microsoft-com:sipolicy">
  <VersionEx>10.0.0.0</VersionEx>
  <PolicyTypeID>{A244370E-44C9-4C06-B551-F6016E563076}</PolicyTypeID>
  <PlatformID>{2E07F7E4-194C-4D20-B7C9-6F44A6C5A234}</PlatformID>
  <Rules>
    <Rule>
      <Option>Enabled:Unsigned System Integrity Policy</Option>
    </Rule>
    <Rule>

pgoodman

On macOS

export CFLAGS="-fsanitize=address -ffunction-sections -fdata-sections -Wl,-dead_strip -Wl,-undefined,dynamic_lookup -Wno-unused-command-line-argument"
export CXXFLAGS="-fsanitize=address -ffunction-sections -fdata-sections -Wl,-dead_strip -Wl,-undefined,dynamic_lookup -Wno-unused-command-line-argument"

On Linux

export CFLAGS="-fsanitize=address -ffunction-sections -fdata-sections -Wl,--gc-sections -Wl,--allow-multiple-definition"
export CXXFLAGS="-fsanitize=address -ffunction-sections -fdata-sections -Wl,--gc-sections -Wl,--allow-multiple-definition"

willccbb

# train_grpo.py
#
# See https://github.com/willccbb/verifiers for ongoing developments
#
import re
import torch
from datasets import load_dataset, Dataset
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import LoraConfig
from trl import GRPOConfig, GRPOTrainer