winger

import torch
import numpy as np
from matplotlib import pyplot as plt

torch.set_printoptions(precision=10)

class ResidualBlock(torch.nn.Module):
    def __init__(self, dims, bottleneck):
        super(ResidualBlock, self).__init__()
        self.linear1 = torch.nn.Linear(dims, bottleneck)

winger

#pragma once
#include <iostream>
#include <algorithm>
#include <vector>
#include <unordered_map>
#include <string>
#include <variant>

using Key = std::string;
using Value = std::variant<std::string, double, bool>;

winger

s = input()

prevs = dict()
a = []
for i in range(len(s)):
    if s[i] in prevs:
        a.append(i - prevs[s[i]])
    else:
        a.append(i + 1)
    prevs[s[i]] = i

winger

root = "cargo"

[packages]

[packages.bitflags]
dependencies = []
path = "/Users/winger/.cargo/registry/src/github.com-1ecc6299db9ec823/bitflags-0.1.1"
version = "0.1.1"

[packages.cargo]