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#!/usr/bin/env python3
"""
Script to check 1:1 mapping between int8 and bfloat16 data types.

This script iterates through all possible int8 values (-128 to 127),
converts each to bfloat16, and checks if there's a bijective mapping
between the two data types.
"""

import numpy as np

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cmake_minimum_required(VERSION 3.10)
project(ClangToolingExample)

# libastcanopy shared lib targget
find_package(Clang REQUIRED)

# Add include directories
include_directories(${CLANG_INCLUDE_DIRS})

# Add the source files for your Clang tool

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import os
import pkgutil
import importlib
from inspect import getmembers, isfunction
import cuml
import json

import pprint

pp = pprint.PrettyPrinter(indent=4)

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from dataclasses import dataclass
import subprocess

benchmark_bin = "/home/coder/cuspatial/cpp/build/release/benchmarks/LINESTRING_DISTANCES_BENCH"

attr_names = ["NumPairs",
              "NumLineStringsPerMultiLineString",
              "NumSegmentsPerLineString"]

@dataclass

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import cupy as cp
import pandas as pd
import cudf

def make_non_monotonic_non_unique_multiindex(N):
    half_n = int(N / 2)
    l0 = cp.concatenate([cp.arange(0, half_n), cp.full(half_n, 42)])
    l1 = cp.concatenate([cp.arange(half_n, N), cp.full(half_n, 42)])
    random_order = cp.arange(0, N)
    cp.random.shuffle(random_order)

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import cupy as cp
import pandas as pd
import cudf
import time

def make_non_monotonic_non_unique_multiindex(N):
    half_n = int(N / 2)
    l0 = cp.concatenate([cp.arange(0, half_n), cp.full(half_n, 42)])
    l1 = cp.concatenate([cp.arange(half_n, N), cp.full(half_n, 42)])
    random_order = cp.arange(0, N)