arrayfire-py/arrayfire/array_api/_dtypes.py at master · arrayfire/arrayfire-py · GitHub

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from __future__ import annotations

import ctypes

__all__ = [

"all_dtypes",

"boolean_dtypes",

"real_floating_dtypes",

"floating_dtypes",

"complex_floating_dtypes",

"integer_dtypes",

"signed_integer_dtypes",

"unsigned_integer_dtypes",

"integer_or_boolean_dtypes",

"real_numeric_dtypes",

"numeric_dtypes",

"dtype_categories",

# OG

"bool",

"complex64",

"complex128",

"float32",

"float64",

"int8",

"int16",

"int32",

"int64",

"uint8",

"uint16",

"uint32",

"uint64",

]

from arrayfire import bool

from arrayfire import complex32 as afcomplex32

from arrayfire import complex64 as afcomplex64

from arrayfire import float16, float32, float64, int16, int32, int64, uint8, uint16, uint32, uint64

from arrayfire.dtypes import Dtype

int8 = Dtype("int8", "b8", ctypes.c_char, "int8", 4) # HACK int8 is not supported in AF. Selecting same as b8

complex64 = afcomplex32

complex128 = afcomplex64

all_dtypes = (

int8,

int16,

int32,

int64,

uint8,

uint16,

uint32,

uint64,

float16,

float32,

float64,

complex64,

complex128,

bool,

)

boolean_dtypes = (bool,)

real_floating_dtypes = (float16, float32, float64)

floating_dtypes = (float16, float32, float64, complex64, complex128)

complex_floating_dtypes = (complex64, complex128)

integer_dtypes = (int8, int16, int32, int64, uint8, uint16, uint32, uint64)

signed_integer_dtypes = (int8, int16, int32, int64)

unsigned_integer_dtypes = (uint8, uint16, uint32, uint64)

integer_or_boolean_dtypes = boolean_dtypes + integer_dtypes

real_numeric_dtypes = real_floating_dtypes + integer_dtypes

numeric_dtypes = floating_dtypes + integer_dtypes + complex_floating_dtypes

dtype_categories = {

"all": all_dtypes,

"real numeric": real_numeric_dtypes,

"numeric": numeric_dtypes,

"integer": integer_dtypes,

"integer or boolean": integer_or_boolean_dtypes,

"boolean": boolean_dtypes,

"real floating-point": floating_dtypes,

"complex floating-point": complex_floating_dtypes,

"floating-point": floating_dtypes,

}

# Note: the spec defines a restricted type promotion table compared to NumPy.

# In particular, cross-kind promotions like integer + float or boolean +

# integer are not allowed, even for functions that accept both kinds.

# Additionally, NumPy promotes signed integer + uint64 to float64, but this

# promotion is not allowed here. To be clear, Python scalar int objects are

# allowed to promote to floating-point dtypes, but only in array operators

# (see Array._promote_scalar) method in _array_object.py.

_promotion_table = {

(int8, int8): int8,

(int8, int16): int16,

(int8, int32): int32,

(int8, int64): int64,

(int16, int8): int16,

(int16, int16): int16,

(int16, int32): int32,

(int16, int64): int64,

(int32, int8): int32,

(int32, int16): int32,

(int32, int32): int32,

(int32, int64): int64,

(int64, int8): int64,

(int64, int16): int64,

(int64, int32): int64,

(int64, int64): int64,

(uint8, uint8): uint8,

(uint8, uint16): uint16,

(uint8, uint32): uint32,

(uint8, uint64): uint64,

(uint16, uint8): uint16,

(uint16, uint16): uint16,

(uint16, uint32): uint32,

(uint16, uint64): uint64,

(uint32, uint8): uint32,

(uint32, uint16): uint32,

(uint32, uint32): uint32,

(uint32, uint64): uint64,

(uint64, uint8): uint64,

(uint64, uint16): uint64,

(uint64, uint32): uint64,

(uint64, uint64): uint64,

(int8, uint8): int16,

(int8, uint16): int32,

(int8, uint32): int64,

(int16, uint8): int16,

(int16, uint16): int32,

(int16, uint32): int64,

(int32, uint8): int32,

(int32, uint16): int32,

(int32, uint32): int64,

(int64, uint8): int64,

(int64, uint16): int64,

(int64, uint32): int64,

(uint8, int8): int16,

(uint16, int8): int32,

(uint32, int8): int64,

(uint8, int16): int16,

(uint16, int16): int32,

(uint32, int16): int64,

(uint8, int32): int32,

(uint16, int32): int32,

(uint32, int32): int64,

(uint8, int64): int64,

(uint16, int64): int64,

(uint32, int64): int64,

(float32, float32): float32,

(float32, float64): float64,

(float64, float32): float64,

(float64, float64): float64,

(complex64, complex64): complex64,

(complex64, complex128): complex128,

(complex128, complex64): complex128,

(complex128, complex128): complex128,

(float32, complex64): complex64,

(float32, complex128): complex128,

(float64, complex64): complex128,

(float64, complex128): complex128,

(complex64, float32): complex64,

(complex64, float64): complex128,

(complex128, float32): complex128,

(complex128, float64): complex128,

(bool, bool): bool,

}

def promote_types(type1: Dtype, type2: Dtype) -> Dtype:

if (type1, type2) in _promotion_table:

return _promotion_table[type1, type2]

raise TypeError(f"{type1} and {type2} cannot be type promoted together")

arrayfire-py/arrayfire/array_api/_dtypes.py at master · arrayfire/arrayfire-py · GitHub

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