CrimsonScythe

def profile(func):
    from functools import wraps

    @wraps(func)
    def wrapper(*args, **kwargs):
        from line_profiler import LineProfiler
        prof = LineProfiler()
        try:
            return prof(func)(*args, **kwargs)
        finally:

CrimsonScythe

profiler = cProfile.Profile()
profiler.enable()
main()
profiler.disable()
stats = pstats.Stats(profiler).sort_stats('tottime')
stats.print_stats()

CrimsonScythe

def square_my_num():
    universe = np.arange(100000)
    numbers = np.random.rand(100000)
    
    filtered_nums=[]
    
    for number in numbers:
        if number in universe:
            filtered_nums.append(number)

CrimsonScythe

#include <stdio.h>
#include <time.h>

#define INTERVALS 10000000

double a[INTERVALS], b[INTERVALS];

int main(int argc, char **argv)
{
  double time2;

CrimsonScythe

/*  COPYING:
 *  Dave Patterson at UCB modified this code from a program by Andrea 
 *  Dusseau of U.C. Berkeley,which was based on a description in 
 *  Saavedra-Barrera [1992]:
 *    Saavedra-Barrera, R. H. [1992]. CPU Performance Evaluation and 
 *    Execution Time Prediction Using Narrow Spectrum Benchmarking, 
 *    Ph.D. Dissertation, University of Calif., Berkeley (May).
 *  Patterson has given permission to use and modify this code as long
 *  as these people and the U. of Cal., Berkeley get proper credit.
 */

CrimsonScythe

import json
from constructs import Construct
from aws_cdk import (
    Stack,
    aws_ecs as ecs,
    aws_ecs_patterns,
    aws_rds as rds,
    aws_ec2 as ec2,
    aws_secretsmanager as secretsmanager
)

CrimsonScythe

#!/usr/bin/env python3

import aws_cdk as cdk
import os
from ecs.ecs_stack import EcsStack

app = cdk.App()
EcsStack(app, "ecs", env={"region": "eu-central-1", "account": os.environ['CDK_DEFAULT_ACCOUNT']})

app.synth()

CrimsonScythe

services:

  server:
    build: .
    command: uvicorn main:app --reload --host 0.0.0.0
    volumes:
      - .:/app
    ports:
      - 8000:8000
    environment:

CrimsonScythe

# Dockerfile

# pull the official docker image
FROM python:3.9

# set work directory
WORKDIR /app

# install dependencies

CrimsonScythe

from pydantic import BaseModel

class Book(BaseModel):
    
    name: str
    author: str

    class Config:
        orm_mode = True