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package main

import (
	"fmt"
	"slices"
	"testing"
)

var ok bool

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import pandas as pd
import plot_likert

q1 = "pertinence"
q2 = "sentiment de\ncompétence"
q3 = "expérience"
myscale = ['Fortement en désaccord', 'Plutôt en désaccord',"Plutôt d'accord", "Fortement d'accord"]
precomputed_counts = pd.DataFrame(
    {myscale[0]: {q1: 1, q2: 1, q3:1},
     myscale[1]: {q1: 2, q2: 1, q3:1},

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#include <limits>
#include "fuzzer/FuzzedDataProvider.h" // see https://raw.githubusercontent.com/llvm/llvm-project/main/compiler-rt/include/fuzzer/FuzzedDataProvider.h

#include <memory>
#include <string>
// enables if needed
//#define ADA_LOGGING 1
#define ADA_DEVELOPMENT_CHECKS 1
#include "ada.cpp"
#include "ada.h"

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#include <algorithm>
#include <chrono>
#include <cstdint>
#include <iostream>


// The assembly is potentially unsafe because we read from the stack
// without checking. However, it appears to be good enough for our
// benchmarking purposes under LLVM.

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// on success: returns a non-negative integer indicating the size of the
// binary produced, it most be no larger than 2147483647 bytes.
// In case of error, a negativ value is returned:
// * -2 indicates an invalid character,
// * -1 indicates a single character remained,
// * -3 indicates a possible overflow (i.e., more than 2 GB output).

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echo "base64 decode"
node benchmark/buffers/buffer-base64-decode.js
./out/Release/node benchmark/buffers/buffer-base64-decode.js

#echo "base64 encode"
#node benchmark/buffers/buffer-base64-encode.js
#./out/Release/node  benchmark/buffers/buffer-base64-encode.js

echo "base64url decode"
node benchmark/buffers/buffer-base64url-decode.js

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  public unsafe static byte* GetPointerToFirstInvalidByteSse(byte* pInputBuffer, int inputLength)
        {

            int processedLength = 0;

            if (pInputBuffer == null || inputLength <= 0)
            {
                return pInputBuffer;
            }
            if (inputLength > 128)

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                    Vector128<byte> shuf1 = Vector128.Create(TOO_LONG, TOO_LONG, TOO_LONG, TOO_LONG,
                            TOO_LONG, TOO_LONG, TOO_LONG, TOO_LONG,
                            TWO_CONTS, TWO_CONTS, TWO_CONTS, TWO_CONTS,
                            TOO_SHORT | OVERLONG_2,
                            TOO_SHORT,
                            TOO_SHORT | OVERLONG_3 | SURROGATE,
                            TOO_SHORT | TOO_LARGE | TOO_LARGE_1000 | OVERLONG_4);

                    Vector128<byte> shuf2 = Vector128.Create(CARRY | OVERLONG_3 | OVERLONG_2 | OVERLONG_4,

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// See https://twitter.com/pdimov2/status/1462802234761170949
#include <array>
#include <string_view>
#include <string>
#include <iostream>

// For now experimental/reflect is not available generally, but
// it should be standardized for C++ 26 ???? Still, we have
// access to it with the very latest llvm.
#include <experimental/reflect>

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#################
# This starts a web server listening on port 8001, with debugging turned n.
# This should not be be used to run the chatbot on a public website: it is meant
# for testing purposes only.
#################

from flask import Flask, request, jsonify
from flask import Flask, render_template, request, url_for
from langchain.chat_models import ChatOpenAI
from langchain.docstore.document import Document