jogonba2

import os

os.environ["CUDA_VISIBLE_DEVICES"] = "2"
from torch.nn import functional as F
from torch import nn
import torch
from typing import Optional
from sentence_transformers import SentenceTransformer
from transformers.modeling_outputs import SequenceClassifierOutput
from datasets import Dataset

jogonba2

import gc
from copy import deepcopy
from dataclasses import dataclass
from typing import Tuple

import evaluate
import nltk
import torch
from datasets import Dataset, DatasetDict, load_dataset
from torch import FloatTensor, LongTensor

jogonba2

import gc
import re
from copy import deepcopy
from dataclasses import dataclass

import torch
from datasets import Dataset, DatasetDict, load_dataset
from math_verify import parse, verify
from peft import (
    LoraConfig,

jogonba2

# coding=utf-8
# Copyright 2021, The Facebook AI Research Team and The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software

jogonba2

import tensorflow as tf
import numpy as np

epochs      = 10000
batch_size  = 1500
d           = 2
enc_1_hidden_units  = 128
enc_2_hidden_units  = 64
mean_hidden_units = std_hidden_units = 2
dec_1_hidden_units  = 64

jogonba2

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from random import random,choice
import networkx as nx
import matplotlib.pyplot as plt
import time


def watts(G,B):

jogonba2

#!/usr/bin/env python
# -*- coding: utf-8 -*-

from random import randint,random
import networkx as nx
import matplotlib.pyplot as plt
import time

# http://stackoverflow.com/questions/479236/how-do-i-simulate-biased-die-in-python #
def roll(probs):

jogonba2

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import numpy as np
from sklearn.datasets import load_iris

class SOM:
    
    def __init__(self,X,it,size_x,size_y,min_w=0,max_w=1,a=0.01):
	

jogonba2

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
#  A5.py
#  
#  Author: overxfl0w13
#  

def header():
	print """

jogonba2

#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
#  DES.py
#  
#  Author: Overxfl0w13


import binascii