import os
import functools

colors = {
    'RED_FG': '\033[31m',
    'GREEN_FG': '\033[32m',
    'CYAN_FG': '\033[36m',
    'GRAY_FG': '\033[90m',
    'YELLOW_FG': '\033[33m',
    'RED_BG': '\033[41m',
    'GREEN_BG': '\033[42m',
    'CYAN_BG': '\033[46m',
    'YELLOW_BG': '\033[43m',
    'GRAY_BG': '\033[100m',
    'CLEAR': '\033[0m'
}

def cdiv(a: int, b: int) -> int:
    return (a + b - 1) // b

@functools.lru_cache()
def is_using_profiling_tools() -> bool:
    """
    Return whether we are running under profiling tools like nsys or ncu

    NOTE cuda-gdb will also cause conflict with CUPTI (bench_kineto) but currently we lack ways to detect it
    """
    is_using_nsys = os.environ.get('NSYS_PROFILING_SESSION_ID') is not None
    is_using_ncu = os.environ.get('NV_COMPUTE_PROFILER_PERFWORKS_DIR') is not None
    is_using_compute_sanitizer = os.environ.get('NV_SANITIZER_INJECTION_PORT_RANGE_BEGIN') is not None
    return is_using_nsys or is_using_ncu or is_using_compute_sanitizer

def set_random_seed(seed: int):
    import random
    import numpy as np
    import torch

    random.seed(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    if torch.cuda.is_available():
        torch.cuda.manual_seed_all(seed)

class Counter:
    def __init__(self):
        self.count = 0

    def next(self) -> int:
        self.count += 1
        return self.count - 1