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from keras import backend as K
from keras.layers import Input, Dense, merge, Dropout, Lambda, LSTM, Masking
from keras.models import Model, Sequential
from keras.optimizers import SGD, RMSprop, Adam, Nadam
from sys import argv
import argparse
import csv
import json
import numpy as np
import pickle

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static
PyObject* pepi_module_init(void) {
  PyObject *m;

  if (PyType_Ready(&pepy_parsed_type) < 0 ||
      PyType_Ready(&pepy_section_type) < 0 ||
      PyType_Ready(&pepy_import_type) < 0 ||
      PyType_Ready(&pepy_export_type) < 0 ||
      PyType_Ready(&pepy_relocation_type) < 0 ||
      PyType_Ready(&pepy_resource_type) < 0)

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import graphviz

g = {
        'A': ['B', 'C', 'D', 'F'],
        'B': ['C', 'D'],
        'D': ['A', 'C'],
        'C': [],
        'E': ['C', 'G'],
        'F': ['A', 'C'],
        'G': ['E']

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#include <stdlib.h>
#include <assert.h>
#include <stdio.h>

struct queue {
  size_t cap, start, size;
  int store[0];
};

struct queue* new_queue(size_t cap)

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/*
 * checking some assumptions
 * compile with: clang++ -Weverything -Wno-c++98-compat -std=c++17 -o noncopyable noncopyable.cc
 */

#include <iostream>
#include <type_traits>

class Default {};

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#include <iostream>
#include <string>
#include <type_traits>

struct Foo
{
    std::string content;

    const std::string& get() const
    {

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package main

import (
	"context"
	"fmt"
	"log"
	"os"
	"time"

	_ "github.com/joho/godotenv/autoload"