Tarliton

Generate a Context-for-Prompt

Based on our conversation, generate a Context-for-Prompt (CFP).

This is not a conversation summary.

Instead, create a self-contained document that another LLM can use to continue working on this problem in a new conversation without needing the original chat.

The CFP should:

Tarliton

Compiling a python version with pyenv inside docker

• Start docker container with desired gcc version
• Add your pynev directory as a volume inside the container

🔴Important🔴:

• only use the same path as your user if you know what you are doing

Command:

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# pip install Dijkstar python-constraint

from constraint import *
from dijkstar import Graph, find_path

tam = 10
problem = Problem()

variables = []
for i in range(tam):

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package main

import (
	"context"
	"database/sql"
	"fmt"
	_ "github.com/newrelic/go-agent/v3/integrations/nrmysql"
	"github.com/newrelic/go-agent/v3/newrelic"
	"gorm.io/driver/mysql"
	"gorm.io/gorm"

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import hashlib
import psutil


BUF_SIZE = 65536


exes = set()
for p in psutil.process_iter():
    exe = p.exe()

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llvmlite
numpy==1.20.1
netdata-pandas==0.0.32
numba==0.50.1
scikit-learn==0.23.2
pyod==0.8.3
wheel
cython
pybind11

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import setuptools

if __name__ == "__main__":
    setuptools.setup()

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 from sqlalchemy import create_engine
 from sqlalchemy.ext.automap import automap_base
 from sqlalchemy.orm import sessionmaker
 
 url = 'mysql://<user>:<password>@<ip>:<port>/<name>'
 engine = create_engine(url,  echo=True)
 Base = automap_base()
 Base.prepare(autoload_with=engine)
 Session = sessionmaker(bind=engine)
 session = Session()

Tarliton

In Python <= 3.8, if you run:

from collections import namedtuple
MyClass = namedtuple("MyClass", "")
m = MyClass()
print(m.__class__['__name__'])
print(type(m.__class__['__name__']))

It will raise TypeError in:

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from constraint import *


def fact(n):
    f = 1
  
    for i in range(1,n+1): 
        f = f * i 
    return f