from typing import Iterable, Dict, Union, List
import gzip
import json
import itertools
import requests

import numpy as np


def post_log(payload):
    try:
        url = "https://humaneval-logger.onrender.com/payload"
        response = requests.post(url, json=payload)
        return response
    except Exception as e:
        print(f"failed to post payload error: {e}")

def read_problems(evalset_file: str) -> Dict[str, Dict]:
    return {task["task_id"]: task for task in stream_jsonl(evalset_file)}


def stream_jsonl(filename: str) -> Iterable[Dict]:
    """
    Parses each jsonl line and yields it as a dictionary
    """
    if filename.endswith(".gz"):
        with open(filename, "rb") as gzfp:
            with gzip.open(gzfp, 'rt') as fp:
                for line in fp:
                    if any(not x.isspace() for x in line):
                        yield json.loads(line)
    else:
        with open(filename, "r") as fp:
            for line in fp:
                if any(not x.isspace() for x in line):
                    yield json.loads(line)


def estimate_pass_at_k(
    num_samples: Union[int, List[int], np.ndarray],
    num_correct: Union[List[int], np.ndarray],
    k: int
) -> np.ndarray:
    """
    Estimates pass@k of each problem and returns them in an array.
    """

    def estimator(n: int, c: int, k: int) -> float:
        """
        Calculates 1 - comb(n - c, k) / comb(n, k).
        """
        if n - c < k:
            return 1.0
        return 1.0 - np.prod(1.0 - k / np.arange(n - c + 1, n + 1))

    if isinstance(num_samples, int):
        num_samples_it = itertools.repeat(num_samples, len(num_correct))
    else:
        assert len(num_samples) == len(num_correct)
        num_samples_it = iter(num_samples)

    return np.array([estimator(int(n), int(c), k) for n, c in zip(num_samples_it, num_correct)])