cocomoff

# coding: utf-8

# In[1]:


import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.nn as nn

cocomoff

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from bs4 import BeautifulSoup
import requests
import lxml
from collections import defaultdict, Counter

N = 100
l_title = []
for i in range(1, N):
    r = requests.get("http://URL/archive/?page={}".format(i))
    soup = BeautifulSoup(r.text, 'lxml')

cocomoff

import numpy as np
import networkx as nx
import matplotlib.pyplot as plt

G1 = nx.Graph()
G1.add_nodes_from(["A", "B", "C", "D", "E"])
G1.add_edges_from([("A", "B"), ("A", "C"), ("A", "D"), ("D", "E")])

G2 = nx.Graph()
G2.add_nodes_from([1, 2, 3, 4, 5, 6])

cocomoff

class Tree(object):
    def __init__(self, label, left=None, right=None):
        self.label = label
        self.left = left
        self.right = right
        
    def __str__(self):
        return str(self.label)
     
def get_dfs_label(t):

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import gym
from gym.wrappers import Monitor

def main():
    GAME    = "Taxi-v2"
    env     = gym.make(GAME)
    n_state = env.observation_space.n
    n_action = env.action_space.n
    env = Monitor(env, "taxi_simple", force=True)

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#[derive(Debug)]
struct Mafuyu {
    max_value: usize,
    list_of_values: Vec<usize>,
}

impl Mafuyu {
    pub fn new(lov: Vec<usize>) -> Mafuyu {
        let max_v = lov.iter().max().unwrap();
        Mafuyu{max_value: *max_v, list_of_values: lov}

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#[derive(Debug)]
struct Mafuyu2 {
    list_of_values: Vec<usize>,
    max_value: usize,
}

impl Mafuyu2 {
    pub fn new(lov: Vec<usize>) -> Mafuyu2 {
        let max_v = lov.iter().max().unwrap();
        Mafuyu2{list_of_values: lov, max_value: *max_v}

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#[derive(Debug)]
struct Mafuyu {
    max_value: usize,
    list_of_values: Vec<usize>,
}

impl Mafuyu {
    pub fn new(lov: &Vec<usize>) -> Mafuyu {
        let max_v = lov.iter().max().unwrap();
        Mafuyu {max_value: *max_v, list_of_values: lov.to_vec()}