"""
This file tests the generic aspects of ArrayMethod.  At the time of writing
this is private API, but when added, public API may be added here.
"""

import sys
import types
from typing import Any, Type

import pytest

import numpy as np
from numpy.core._multiarray_umath import _get_castingimpl as get_castingimpl


class TestResolveDescriptors:
    # Test mainly error paths of the resolve_descriptors function,
    # note that the `casting_unittests` tests exercise this non-error paths.

    # Casting implementations are the main/only current user:
    method = get_castingimpl(type(np.dtype("d")), type(np.dtype("f")))

    @pytest.mark.parametrize("args", [
        (True,),  # Not a tuple.
        ((None,)),  # Too few elements
        ((None, None, None),),  # Too many
        ((None, None),),  # Input dtype is None, which is invalid.
        ((np.dtype("d"), True),),  # Output dtype is not a dtype
        ((np.dtype("f"), None),),  # Input dtype does not match method
    ])
    def test_invalid_arguments(self, args):
        with pytest.raises(TypeError):
            self.method._resolve_descriptors(*args)


class TestSimpleStridedCall:
    # Test mainly error paths of the resolve_descriptors function,
    # note that the `casting_unittests` tests exercise this non-error paths.

    # Casting implementations are the main/only current user:
    method = get_castingimpl(type(np.dtype("d")), type(np.dtype("f")))

    @pytest.mark.parametrize(["args", "error"], [
        ((True,), TypeError),  # Not a tuple
        (((None,),), TypeError),  # Too few elements
        ((None, None), TypeError),  # Inputs are not arrays.
        (((None, None, None),), TypeError),  # Too many
        (((np.arange(3), np.arange(3)),), TypeError),  # Incorrect dtypes
        (((np.ones(3, dtype=">d"), np.ones(3, dtype="<f")),),
         TypeError),  # Does not support byte-swapping
        (((np.ones((2, 2), dtype="d"), np.ones((2, 2), dtype="f")),),
         ValueError),  # not 1-D
        (((np.ones(3, dtype="d"), np.ones(4, dtype="f")),),
          ValueError),  # different length
        (((np.frombuffer(b"\0x00"*3*2, dtype="d"),
           np.frombuffer(b"\0x00"*3, dtype="f")),),
         ValueError),  # output not writeable
    ])
    def test_invalid_arguments(self, args, error):
        # This is private API, which may be modified freely
        with pytest.raises(error):
            self.method._simple_strided_call(*args)


@pytest.mark.skipif(sys.version_info < (3, 9), reason="Requires python 3.9")
class TestClassGetItem:
    @pytest.mark.parametrize(
        "cls", [np.ndarray, np.recarray, np.chararray, np.matrix, np.memmap]
    )
    def test_class_getitem(self, cls: Type[np.ndarray]) -> None:
        """Test `ndarray.__class_getitem__`."""
        alias = cls[Any, Any]
        assert isinstance(alias, types.GenericAlias)
        assert alias.__origin__ is cls

    @pytest.mark.parametrize("arg_len", range(4))
    def test_subscript_tuple(self, arg_len: int) -> None:
        arg_tup = (Any,) * arg_len
        if arg_len == 2:
            assert np.ndarray[arg_tup]
        else:
            with pytest.raises(TypeError):
                np.ndarray[arg_tup]

    def test_subscript_scalar(self) -> None:
        with pytest.raises(TypeError):
            np.ndarray[Any]


@pytest.mark.skipif(sys.version_info >= (3, 9), reason="Requires python 3.8")
def test_class_getitem_38() -> None:
    match = "Type subscription requires python >= 3.9"
    with pytest.raises(TypeError, match=match):
        np.ndarray[Any, Any]