diff --git a/pyproject.toml b/pyproject.toml index 3c72e4f..ebd6fff 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -27,6 +27,8 @@ ] dependencies = [ "typing-extensions>=4.14.0", + "optype>=0.9.3; python_version < '3.11'", + "optype>=0.10.0; python_version >= '3.11'", ] [project.urls] @@ -133,19 +135,27 @@ version_tuple = {version_tuple!r} "D107", # Missing docstring in __init__ "D203", # 1 blank line required before class docstring "D213", # Multi-line docstring summary should start at the second line + "D401", # First line of docstring should be in imperative mood "FBT", # flake8-boolean-trap "FIX", # flake8-fixme "ISC001", # Conflicts with formatter + "PLW1641", # Object does not implement `__hash__` method + "PYI041", # Use `float` instead of `int | float` + "TD002", # Missing author in TODO + "TD003", # Missing issue link for this TOOD ] [tool.ruff.lint.per-file-ignores] "tests/*.py" = ["ANN201", "D1", "S101"] [tool.ruff.lint.flake8-import-conventions] - banned-from = ["array_api_typing"] + banned-from = ["array_api_typing", "optype", "optype.numpy", "optype.numpy.compat"] [tool.ruff.lint.flake8-import-conventions.extend-aliases] array_api_typing = "xpt" + optype = "op" + "optype.numpy" = "onp" + "optype.numpy.compat" = "npc" [tool.ruff.lint.isort] combine-as-imports = true diff --git a/src/array_api_typing/__init__.py b/src/array_api_typing/__init__.py index 3532743..5c541b3 100644 --- a/src/array_api_typing/__init__.py +++ b/src/array_api_typing/__init__.py @@ -1,10 +1,11 @@ """Static typing support for the array API standard.""" __all__ = ( + "Array", "HasArrayNamespace", "__version__", "__version_tuple__", ) -from ._namespace import HasArrayNamespace +from ._array import Array, HasArrayNamespace from ._version import version as __version__, version_tuple as __version_tuple__ diff --git a/src/array_api_typing/_array.py b/src/array_api_typing/_array.py new file mode 100644 index 0000000..a208631 --- /dev/null +++ b/src/array_api_typing/_array.py @@ -0,0 +1,642 @@ +__all__ = ( + "Array", + "HasArrayNamespace", +) + +from types import ModuleType +from typing import Protocol +from typing_extensions import Self, TypeVar + +NS_co = TypeVar("NS_co", covariant=True, bound=object, default=ModuleType) + + +class HasArrayNamespace(Protocol[NS_co]): + """Protocol for classes that have an `__array_namespace__` method. + + Example: + >>> import array_api_typing as xpt + >>> + >>> class MyArray: + ... def __array_namespace__(self): + ... return object() + >>> + >>> x = MyArray() + >>> def has_array_namespace(x: xpt.HasArrayNamespace) -> bool: + ... return hasattr(x, "__array_namespace__") + >>> has_array_namespace(x) + True + + """ + + def __array_namespace__(self, /, *, api_version: str | None = None) -> NS_co: ... # noqa: PLW3201 + + +# ============================================================================ +# Attributes + +DTypeT_co = TypeVar("DTypeT_co", covariant=True) + + +class HasDType(Protocol[DTypeT_co]): + """Protocol for array classes that have a data type attribute.""" + + @property + def dtype(self) -> DTypeT_co: + """Data type of the array elements.""" + ... + + +class HasDevice(Protocol): + """Protocol for array classes that have a device attribute.""" + + @property + def device(self) -> object: # TODO: more specific type + """Hardware device the array data resides on.""" + ... + + +class HasMatrixTranspose(Protocol): + """Protocol for array classes that have a matrix transpose attribute.""" + + @property + def mT(self) -> Self: # noqa: N802 + """Transpose of a matrix (or a stack of matrices). + + If an array instance has fewer than two dimensions, an error should be + raised. + + Returns: + Self: array whose last two dimensions (axes) are permuted in reverse + order relative to original array (i.e., for an array instance + having shape `(..., M, N)`, the returned array must have shape + `(..., N, M))`. The returned array must have the same data type + as the original array. + + """ + ... + + +class HasNDim(Protocol): + """Protocol for array classes that have a number of dimensions attribute.""" + + @property + def ndim(self) -> int: + """Number of array dimensions (axes). + + Returns: + int: number of array dimensions (axes). + + """ + ... + + +class HasShape(Protocol): + """Protocol for array classes that have a shape attribute.""" + + @property + def shape(self) -> tuple[int | None, ...]: + """Shape of the array. + + Returns: + tuple[int | None, ...]: array dimensions. An array dimension must be None + if and only if a dimension is unknown. + + Notes: + For array libraries having graph-based computational models, array + dimensions may be unknown due to data-dependent operations (e.g., + boolean indexing; `A[:, B > 0]`) and thus cannot be statically + resolved without knowing array contents. + + """ + ... + + +class HasSize(Protocol): + """Protocol for array classes that have a size attribute.""" + + @property + def size(self) -> int | None: + """Number of elements in an array. + + Returns: + int | None: number of elements in an array. The returned value must + be `None` if and only if one or more array dimensions are + unknown. + + Notes: + This must equal the product of the array's dimensions. + + """ + ... + + +class HasTranspose(Protocol): + """Protocol for array classes that support the transpose operation.""" + + def T(self) -> Self: # noqa: N802 + """Transpose of the array. + + The array instance must be two-dimensional. If the array instance is not + two-dimensional, an error should be raised. + + Returns: + Self: two-dimensional array whose first and last dimensions (axes) + are permuted in reverse order relative to original array. The + returned array must have the same data type as the original + array. + + Notes: + Limiting the transpose to two-dimensional arrays (matrices) deviates + from the NumPy et al practice of reversing all axes for arrays + having more than two-dimensions. This is intentional, as reversing + all axes was found to be problematic (e.g., conflicting with the + mathematical definition of a transpose which is limited to matrices; + not operating on batches of matrices; et cetera). In order to + reverse all axes, one is recommended to use the functional + `PermuteDims` interface found in this specification. + + """ + ... + + +# ============================================================================ + + +class CanArrayPos(Protocol): + """Protocol for array classes that support the unary plus operator.""" + + def __pos__(self) -> Self: + """Evaluates `+self_i` for each element of an array instance. + + Returns: + Self: An array containing the evaluated result for each element. + The returned array must have the same data type as self. + + See Also: + array_api_typing.Positive + + """ + ... + + +class CanArrayNeg(Protocol): + """Protocol for array classes that support the unary minus operator.""" + + def __neg__(self) -> Self: + """Evaluates `-self_i` for each element of an array instance. + + Returns: + Self: an array containing the evaluated result for each element in + self. The returned array must have a data type determined by Type + Promotion Rules. + + See Also: + array_api_typing.Negative + + """ + ... + + +class CanArrayAdd(Protocol): + """Protocol for array classes that support the addition operator.""" + + def __add__(self, other: Self | int | float, /) -> Self: + """Calculates the sum for each element of an array instance with the respective element of the array `other`. + + Args: + other: addend array. Must be compatible with `self` (see + Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise sums. The returned array + must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Add + + """ # noqa: E501 + ... + + +class CanArrayIAdd(Protocol): + """Protocol for array classes that support the in-place addition operator.""" + + def __iadd__(self, other: Self | int | float, /) -> Self: + """Calculates the in-place sum for each element of an array instance with the respective element of the array `other`. + + Args: + other: addend array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: `self`, after performing the in-place addition. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Add + + """ # noqa: E501 + ... + + +class CanArrayRAdd(Protocol): + """Protocol for array classes that support the right addition operator.""" + + def __radd__(self, other: Self | int | float, /) -> Self: + """Calculates the sum for each element of the array `other` with the respective element of an array instance. + + Args: + other: addend array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise sums. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Add + + """ # noqa: E501 + ... + + +class CanArraySub(Protocol): + """Protocol for array classes that support the subtraction operator.""" + + def __sub__(self, other: Self | int | float, /) -> Self: + """Calculates the difference for each element of an array instance with the respective element of the array other. + + The result of `self_i - other_i` must be the same as `self_i + + (-other_i)` and must be governed by the same floating-point rules as + addition (see `CanArrayAdd`). + + Args: + other: subtrahend array. Must be compatible with self (see + Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise differences. The returned + array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Subtract + + """ # noqa: E501 + ... + + +class CanArrayISub(Protocol): + """Protocol for array classes that support the in-place subtraction operator.""" + + def __isub__(self, other: Self | int | float, /) -> Self: + """Calculates the in-place difference for each element of an array instance with the respective element of the array `other`. + + Args: + other: subtrahend array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: `self`, after performing the in-place subtraction. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Subtract + + """ # noqa: E501 + ... + + +class CanArrayRSub(Protocol): + """Protocol for array classes that support the right subtraction operator.""" + + def __rsub__(self, other: Self | int | float, /) -> Self: + """Calculates the difference for each element of the array `other` with the respective element of an array instance. + + The result of `other_i - self_i` must be the same as `other_i + (-self_i)` and must be governed by the same floating-point rules as addition (see `CanArrayAdd`). + + Args: + other: minuend array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise differences. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Subtract + + """ # noqa: E501 + ... + + +class CanArrayMul(Protocol): + """Protocol for array classes that support the multiplication operator.""" + + def __mul__(self, other: Self | int | float, /) -> Self: + """Calculates the product for each element of an array instance with the respective element of the array `other`. + + Args: + other: multiplicand array. Must be compatible with self (see Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise products. The returned + array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Multiply + + """ # noqa: E501 + ... + + +class CanArrayIMul(Protocol): + """Protocol for array classes that support the in-place multiplication operator.""" + + def __imul__(self, other: Self | int | float, /) -> Self: + """Calculates the in-place product for each element of an array instance with the respective element of the array `other`. + + Args: + other: multiplicand array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: `self`, after performing the in-place multiplication. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Multiply + + """ # noqa: E501 + ... + + +class CanArrayRMul(Protocol): + """Protocol for array classes that support the right multiplication operator.""" + + def __rmul__(self, other: Self | int | float, /) -> Self: + """Calculates the product for each element of the array `other` with the respective element of an array instance. + + Args: + other: multiplicand array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise products. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Multiply + + """ # noqa: E501 + ... + + +class CanArrayTrueDiv(Protocol): + """Protocol for array classes that support the true division operator.""" + + def __truediv__(self, other: Self | int | float, /) -> Self: + """Evaluates `self_i / other_i` for each element of an array instance with the respective element of the array `other`. + + Args: + other: Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise results. The returned array should have a floating-point data type determined by Type Promotion Rules. + + See Also: + array_api_typing.TrueDiv + + """ # noqa: E501 + ... + + +class CanArrayITruediv(Protocol): + """Protocol for array classes that support the in-place true division operator.""" + + def __itruediv__(self, other: Self | int | float, /) -> Self: + """Calculates the in-place quotient for each element of an array instance with the respective element of the array `other`. + + Args: + other: divisor array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: `self`, after performing the in-place true division. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.TrueDiv + + """ # noqa: E501 + ... + + +class CanArrayRTrueDiv(Protocol): + """Protocol for array classes that support the right true division operator.""" + + def __rtruediv__(self, other: Self | int | float, /) -> Self: + """Calculates the quotient for each element of the array `other` with the respective element of an array instance. + + Args: + other: dividend array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise quotients. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.TrueDiv + + """ # noqa: E501 + ... + + +class CanArrayFloorDiv(Protocol): + """Protocol for array classes that support the floor division operator.""" + + def __floordiv__(self, other: Self | int | float, /) -> Self: + """Evaluates `self_i // other_i` for each element of an array instance with the respective element of the array `other`. + + Args: + other: Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise results. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.FloorDiv + + """ # noqa: E501 + ... + + +class CanArrayIFloorDiv(Protocol): + """Protocol for array classes that support the in-place floor division operator.""" + + def __ifloordiv__(self, other: Self | int | float, /) -> Self: + """Calculates the in-place floor division for each element of an array instance with the respective element of the array `other`. + + Args: + other: divisor array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: `self`, after performing the in-place floor division. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.FloorDiv + + """ # noqa: E501 + ... + + +class CanArrayRFloorDiv(Protocol): + """Protocol for array classes that support the right floor division operator.""" + + def __rfloordiv__(self, other: Self | int | float, /) -> Self: + """Calculates the floor division for each element of the array `other` with the respective element of an array instance. + + Args: + other: dividend array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise floor division results. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.FloorDiv + + """ # noqa: E501 + ... + + +class CanArrayMod(Protocol): + """Protocol for array classes that support the modulo operator.""" + + def __mod__(self, other: Self | int | float, /) -> Self: + """Evaluates `self_i % other_i` for each element of an array instance with the respective element of the array `other`. + + Args: + other: Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise results. Each element-wise result must have the same sign as the respective element `other_i`. The returned array must have a floating-point data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Remainder + + """ # noqa: E501 + ... + + +class CanArrayIMod(Protocol): + """Protocol for array classes that support the in-place modulo operator.""" + + def __imod__(self, other: Self | int | float, /) -> Self: + """Calculates the in-place remainder for each element of an array instance with the respective element of the array `other`. + + Args: + other: divisor array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: `self`, after performing the in-place modulo operation. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Remainder + + """ # noqa: E501 + ... + + +class CanArrayRMod(Protocol): + """Protocol for array classes that support the right modulo operator.""" + + def __rmod__(self, other: Self | int | float, /) -> Self: + """Calculates the remainder for each element of the array `other` with the respective element of an array instance. + + Args: + other: dividend array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise remainders. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Remainder + + """ # noqa: E501 + ... + + +class CanArrayPow(Protocol): + """Protocol for array classes that support the power operator.""" + + def __pow__(self, other: Self | int | float, /) -> Self: + """Calculates an implementation-dependent approximation of exponentiation by raising each element (the base) of an array instance to the power of `other_i` (the exponent), where `other_i` is the corresponding element of the array `other`. + + Args: + other: array whose elements correspond to the exponentiation exponent. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise results. The returned array must have a data type determined by Type Promotion Rules. + + """ # noqa: E501 + ... + + +class CanArrayIPow(Protocol): + """Protocol for array classes that support the in-place power operator.""" + + def __ipow__(self, other: Self | int | float, /) -> Self: + """Calculates the in-place power for each element of an array instance with the respective element of the array `other`. + + Args: + other: exponent array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: `self`, after performing the in-place power operation. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Power + + """ # noqa: E501 + ... + + +class CanArrayRPow(Protocol): + """Protocol for array classes that support the right power operator.""" + + def __rpow__(self, other: Self | int | float, /) -> Self: + """Calculates the power for each element of the array `other` raised to the respective element of an array instance. + + Args: + other: base array. Must be compatible with `self` (see Broadcasting). Should have a numeric data type. + + Returns: + Self: an array containing the element-wise powers. The returned array must have a data type determined by Type Promotion Rules. + + See Also: + array_api_typing.Power + + """ # noqa: E501 + ... + + +class Array( + # ------ Attributes ------- + HasDType[DTypeT_co], + HasDevice, + HasMatrixTranspose, + HasNDim, + HasShape, + HasSize, + HasTranspose, + # ------ Methods ------- + HasArrayNamespace[NS_co], + CanArrayPos, + CanArrayNeg, + CanArrayAdd, + CanArrayIAdd, + CanArrayRAdd, + CanArraySub, + CanArrayISub, + CanArrayRSub, + CanArrayMul, + CanArrayIMul, + CanArrayRMul, + CanArrayTrueDiv, + CanArrayRTrueDiv, + CanArrayFloorDiv, + CanArrayIFloorDiv, + CanArrayRFloorDiv, + CanArrayMod, + CanArrayIMod, + CanArrayRMod, + CanArrayPow, + CanArrayIPow, + CanArrayRPow, + Protocol, +): + """Array API specification for array object attributes and methods.""" diff --git a/src/array_api_typing/_namespace.py b/src/array_api_typing/_namespace.py deleted file mode 100644 index f9c3e84..0000000 --- a/src/array_api_typing/_namespace.py +++ /dev/null @@ -1,28 +0,0 @@ -__all__ = ("HasArrayNamespace",) - -from types import ModuleType -from typing import Protocol -from typing_extensions import TypeVar - -T_co = TypeVar("T_co", covariant=True, bound=object, default=ModuleType) - - -class HasArrayNamespace(Protocol[T_co]): - """Protocol for classes that have an `__array_namespace__` method. - - Example: - >>> import array_api_typing as xpt - >>> - >>> class MyArray: - ... def __array_namespace__(self): - ... return object() - >>> - >>> x = MyArray() - >>> def has_array_namespace(x: xpt.HasArrayNamespace) -> bool: - ... return hasattr(x, "__array_namespace__") - >>> has_array_namespace(x) - True - - """ - - def __array_namespace__(self, /, *, api_version: str | None = None) -> T_co: ... # noqa: PLW3201 diff --git a/uv.lock b/uv.lock index ec7cfa4..6138dbb 100644 --- a/uv.lock +++ b/uv.lock @@ -1,4 +1,5 @@ version = 1 +revision = 2 requires-python = ">=3.10" resolution-markers = [ "python_full_version >= '3.11'", @@ -9,6 +10,8 @@ resolution-markers = [ name = "array-api-typing" source = { editable = "." } dependencies = [ + { name = "optype", version = "0.9.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, + { name = "optype", version = "0.10.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, { name = "typing-extensions" }, ] @@ -35,7 +38,11 @@ test = [ ] [package.metadata] -requires-dist = [{ name = "typing-extensions", specifier = ">=4.14.0" }] +requires-dist = [ + { name = "optype", marker = "python_full_version < '3.11'", specifier = ">=0.9.3" }, + { name = "optype", marker = "python_full_version >= '3.11'", specifier = ">=0.10.0" }, + { name = "typing-extensions", specifier = ">=4.14.0" }, +] [package.metadata.requires-dev] dev = [ @@ -59,68 +66,68 @@ test = [ name = "colorama" version = "0.4.6" source = { registry = "https://pypi.org/simple" } -sdist = { url = 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