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import torch | |
from torch.nn.utils.rnn import PackedSequence | |
from typing import overload, Optional | |
class Base(torch.nn.Module): | |
def __init__(self): | |
super().__init__() | |
@overload | |
@torch._jit_internal._overload_method | |
def forward(self, inputs, hx=None): |
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#include<stdio.h> | |
#include<string.h> | |
#include<stdlib.h> | |
#include"stack.h" | |
void init_class(stack *S) | |
{ | |
(*S).a=(int*)malloc(100*sizeof(int)); | |
(*S).len=0; | |
(*S).top=_top; |
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#include<stdio.h> | |
#include"compare.h" | |
int bigger(int a, int b) | |
{ | |
return a>b; | |
} | |
int smaller(int a, int b) | |
{ | |
return a<b; |
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#include <stdio.h> | |
#include "allocate.h" | |
void read_array(int *a, int len) | |
{ | |
for(int i=0; i<len; i++) | |
scanf("%d", &(a[i])); | |
} | |
void print_array(int *a, int len) | |
{ | |
for(int i=0; i<len; i++) |
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#include<stdio.h> | |
#include<stdlib.h> | |
#include"swap.h" | |
void fake_swap(int a, int b) | |
{ | |
int tmp=a; | |
a=b; | |
b=tmp; | |
} |
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#include <stdio.h> | |
#include "coord.h" | |
int main() | |
{ | |
for(coord a, b, c; scanf("%d %d %d %d", &(a.a), &(a.b), &(b.a), &(b.b))!=EOF; ) | |
{ | |
c=add(a, b); | |
print(c); | |
printf("\n"); | |
} |
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#include<cstdio> | |
#include<iostream> | |
#include<fstream> | |
using namespace std; | |
string exec(const char* cmd){ | |
string ret; | |
char buf[128]; | |
FILE *f=popen(cmd, "r"); |
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#include"___header.h" | |
#include"___header.h" | |
#include<stdio.h> | |
#include<string.h> | |
void cut(char *p) | |
{ | |
int len=strlen(p); | |
if(p[len-1]=='\n') | |
p[len-1]='\0'; |
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-cat asd zxc |
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-add 123 456 |
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