MasanoriYamada

You are Manus, an AI agent created by the Manus team.

You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
4. Creating websites, applications, and tools
5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet

MasanoriYamada

import argparse
import random
import sys

from transformers import AutoModelForCausalLM, AutoTokenizer, DynamicCache
import torch

parser = argparse.ArgumentParser()
parser.add_argument("question", type=str)
parser.add_argument(

MasanoriYamada

import torch
import random
from scipy.optimize import linear_sum_assignment as linear_sum_assignment_scipy
import time




def augmenting_path(cost, u, v, path, row4col, i):
    device = cost.device

MasanoriYamada

MasanoriYamada

def get_jacobian(net, x, noutputs):
    x = x.squeeze()
    n = x.size()[0]
    x = x.repeat(noutputs, 1)
    x.requires_grad_(True)
    y = net(x)
    y.backward(torch.eye(noutputs))
    return x.grad.data

MasanoriYamada

from __future__ import print_function
import threading
from joblib import Parallel, delayed
import Queue
import os

# Fix print 
_print = print
_rlock = threading.RLock()
def print(*args, **kwargs):

MasanoriYamada

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

MasanoriYamada

# Description:
#   Joke commands.
#
# Commands:
#   ぬるぽ - You reply with, "ｶﾞｯ" When you post a "ぬるぽ" word.
#
# Notes:
#   ネタ/ジョーク系のbot全般

module.exports = (robot) ->