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// This assumes the following CUDA array wrapping interface

#include <thrust/host_vector.h>
#include <thrust/device_vector.h>

////////////////////////////////////////////////////////////////// DevVector //

template< typename T >
class DevVector
{

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(cupy-dev) C:\Users\Edgar A Margffoy\cupy>pytest -x -v tests\cupyx_tests\scipy_tests\signal_tests\test_ltisys.py::TestPlacePoles::test_real_2
================================================= test session starts =================================================
platform win32 -- Python 3.11.6, pytest-7.4.3, pluggy-1.3.0 -- C:\Users\Edgar A Margffoy\miniforge3\envs\cupy-dev\python.exe
cachedir: .pytest_cache
rootdir: C:\Users\Edgar A Margffoy\cupy
configfile: setup.cfg
collected 1 item

tests/cupyx_tests/scipy_tests/signal_tests/test_ltisys.py::TestPlacePoles::test_real_2
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> PDB set_trace (IO-capturing turned off) >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>

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import math
import tqdm
import cupy as cp
import numpy as np

from cupy import testing
from cupyx.profiler import benchmark

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import inspect
from inspect import Signature, Parameter
from typing import Tuple, List, Set, Dict
from types import ModuleType
from html import escape

import numpy as np
import scipy as sc
import cupyx.scipy as cp

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import inspect
from inspect import Signature, Parameter
from typing import Tuple, List, Set, Dict
from types import ModuleType
from html import escape

import numpy as np
import scipy as sc
import cupy as cp

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import numpy as np
import cupy as cp
import inspect
import random

distributions = {}
random_members = dir(cp.random)
for mem_name in random_members:
    mem = getattr(cp.random, mem_name)
    if not callable(mem):

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(bld) macmini@192 qt-feedstock % python build-locally.py
valid configs are {'linux_64_', 'osx_arm64_', 'osx_64_', 'win_64_', 'linux_aarch64_'}
config not selected, please choose from the following:

1. linux_64_
2. linux_aarch64_
3. osx_64_
4. osx_arm64_
5. win_64_

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import os
import unittest
import sys

import torch
import torchvision
from PIL import Image
from torchvision.io.image import read_png, decode_png, read_jpeg, decode_jpeg
import numpy as np

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#!/usr/bin/env python3

import os
import plistlib
import sys

try:
    import yaml
except ImportError:
    pass

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# -*- coding: utf-8 -*-

"""Basic tokenization and counting of nouns and verbs in a set of phrases."""

# Standard lib imports
from typing import Tuple, Dict, Union, List

# SpaCy imports
import spacy