Prompt:
# Here are some relevant code fragments from other files of the repo:

# the below code fragment can be found in:
# modules/tabs/server.py
#             json_buffer = io.BytesIO(json.dumps(params).encode('utf-8'))
#             files = {
#                 "input_wav": audio_buffer,
#                 "params": json_buffer
#             }
#             res = requests.post(f"http://{host}:{port}/convert_sound", files=files)
#             audio, sr = sf.read(io.BytesIO(res.content))
#             yield "convert succeed", (sr, audio)
#         with gr.Group():
#             with gr.Box():

# the below code fragment can be found in:
# modules/tabs/server.py
#             )
#     return (
#         host,
#         port,
#         rvc_model_file,
#         faiss_index_file,
#         input_voice_file,
#         speaker_id,
#         transpose,
#         pitch_extraction_algo,

# the below code fragment can be found in:
# modules/tabs/training.py
#                     with gr.Row(equal_height=False):
#                         batch_size = gr.Number(value=4, label="Batch size")
#                         num_epochs = gr.Number(
#                             value=30,
#                             label="Number of epochs",
#                         )
#                         save_every_epoch = gr.Slider(
#                             minimum=0,
#                             maximum=100,
#                             value=10,

# the below code fragment can be found in:
# modules/tabs/merge.py
#             torch.cuda.empty_cache()
#             return "Success", (tgt_sr, audio)
#         def reload_model():
#             model_list = models.get_models()
#             return (
#                 gr.Dropdown.update(choices=model_list),
#                 gr.Dropdown.update(choices=model_list),
#                 gr.Dropdown.update(choices=model_list),
#             )
#         def update_speaker_ids(model):

# the below code fragment can be found in:
# modules/tabs/merge.py
#         ):
#             merged = merge_ckpt(
#                 model_a, model_b, model_c, weight_text, alpha, each_key, method
#             )
#             model = models.VoiceConvertModel("merge", merged)
#             audio = model.single(
#                 speaker_id,
#                 source_audio,
#                 embedder_name,
#                 embedding_output_layer,

import io
import json
import os
import traceback
from typing import *

import soundfile as sf
from flask import Flask, make_response, request, send_file
from scipy.io.wavfile import write

from modules.server.model import VoiceServerModel

model: Optional[VoiceServerModel] = None
app = Flask(__name__)

@app.route('/ping')
def ping():
    return make_response("server is alive", 200)

@app.route('/upload_model', methods=['POST'])
def upload_model():
    """
    input:
        json:
            rvc_model_file: str
                specify rvc model's absolute path (.pt, .pth)
            faiss_index_file: Optional[str]
                specify faiss index'S absolute path (.index)
    """
    global model
    if request.method == "POST":
        rvc_model_file = request.json["rvc_model_file"]
        faiss_index_file =request.json["faiss_index_file"] if "faiss_index_file" in request.json else ""
        try:
            model = VoiceServerModel(rvc_model_file, faiss_index_file)
            return make_response("model is load", 200)
        except:
            traceback.print_exc()
            return make_response("model load error", 400)
    else:
        return make_response("use post method", 400)

@app.route('/convert_sound', methods=['POST'])
def convert_sound():
    """
    input:
        params: json
            speaker_id: int
                default: 0
            transpose: int
                default: 0
            pitch_extraction_algo: str
                default: dio
                value: ["dio", "harvest", "mangio-crepe", "crepe"]
            retrieval_feature_ratio: float
                default: 0
                value: 0. ~ 1.
        input_wav: wav file

    output:
        wavfile
    """
    global model
    if model is None:
        return make_response("please upload model", 400)
    print("start")
    if request.method == "POST":
        input_buffer = io.BytesIO(request.files["input_wav"].stream.read())
        audio, sr = sf.read(input_buffer)

        req_json = json.load(io.BytesIO(request.files["params"].stream.read()))
        sid = int(req_json.get("speaker_id", 0))
        transpose = int(req_json.get("transpose", 0))
        pitch_extraction_algo = req_json.get("pitch_extraction_algo", "dio")
        if not pitch_extraction_algo in ["dio", "harvest", "mangio-crepe", "crepe"]:
            return make_response("bad pitch extraction algo", 400)
        retrieval_feature_ratio = float(req_json.get("retrieval_feature_ratio", 0.))

        out_audio = model(audio, sr, sid, transpose, pitch_extraction_algo, retrieval_feature_ratio)
        output_buffer = io.BytesIO()
        write(output_buffer, rate=model.

sr, data=out_audio)
        output_buffer.seek(0)
        return send_file(output_buffer, mimetype="audio/wav")
    else:
        return make_response("use post method", 400)


Prompt:
# Here are some relevant code fragments from other files of the repo:

# the below code fragment can be found in:
# Build/CToolKit/ComandLineExecution.py
#         self.status_code, self.output = subprocess.getstatusoutput(command)
#         if self.status_code != 0:
#             raise ExecutionError(self.output, self.status_code)

# the below code fragment can be found in:
# Build/CToolKit/readme_converter.py
#         lexer = parse_readme_lexer(arq.read())
#         for l in lexer:
#             if l['type'] == 'block':
#                 text+=l['text']
#             if l['type'] == 'ref':
#                 text+=f'<!--codeof:{l["ref"]}-->\n'
#                 with open(l['ref'] ,'r') as ref_arq:
#                     text+=f'~~~{l["extension"]}\n'
#                     ref_text = ref_arq.read()
#                     if modifier:

# the below code fragment can be found in:
# Build/CToolKit/amalgamation.py
#         with open(starter) as f:
#             # get current dir name
#             current_dir = '/'.join(starter.split('/')[:-1])
#             lines = f.readlines()
#             for line in lines:
#                 ##trim line
#                 file_to_include = get_action(current_dir, line)
#                 if file_to_include == None:
#                     current_text += line
#                     continue

# the below code fragment can be found in:
# Build/CToolKit/Errors/NotExpectedResult.py
# from typing import List
# class NotExpectedResult(Exception):
#     def __int__(self,result: List[str] or dict or str, expected:List[str] or dict or str):
#         self.mensage = f'the result is deiferent than expected'
#         super().__init__(self.mensage)
#         self.result = result
#         self.expected = expected

from typing import List
from platform import system as current_os
from os import remove
from .Errors.CopilationError import CopilationError
from .Errors.CopilationWarning import CopilationWarning

from .Errors.ValgrindError import  ValgrindError
from .Errors.ValgrindLeak import  ValgrindLeak

from .ComandLineExecution import ComandLineExecution
from .valgrind_parser import parse_valgrind_result

def compile_project_by_command(command: str, raise_errors: bool = True, raise_warnings: bool = True):
    """execute an copilation with the given comand
    Args:
        command (str): the comand copilation ,ex: 'gcc test.c'
        raise_errors (bool, optional): if its to raise An copilation Error
        raise_warnings (bool, optional): if is to raise an warning Error

    Raises:
        CopilationError: The Copilation Error Exception
        CopilationWarning: The CopilationWarning Exception
    """

    result = ComandLineExecution(command)

    if raise_errors and result.status_code != 0:
        raise CopilationError(result.

output, result.status_code)

    if raise_warnings and result.status_code != 0:
        raise CopilationWarning(result.output, result.status_code)

    return result